19 jobs found

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: 1. Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. 2. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. 3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Job Summary: Disney Media Engineers have a clear charter: to transform the capability and flexibility of how Disney acquires, produces, and distributes content worldwide, all while ensuring the highest levels of quality, efficiency, and resiliency. Disney Media Engineers often find themselves at the crossroads between hardware and software based technology and must possess a comprehensive theoretical and practical understanding of the technology that powers the generation, monetization, and distribution of all forms of consumer- facing linear and digital video/audio content. Responsibility includes numerous systems such as Playout Technology, Studios, Production Control Rooms, Remote Production, Post-Production, Contribution/Distribution Systems, Networking, Cloud Compute, Production Software and Virtual Environment and more. The Lead Media Systems Engineer is an expert engineer in several disciplines related to the acquisition, production, or distribution of media content. They are well-versed in multiple technical standards and have hands-on experience in both the sustainment and design/build of production systems. The Lead Media Systems Engineer is part of a tiered sustainment model where incidents are escalated from a shared Operations team (tier 1) to the Media Engineer I's, II's and Sr. Media Engineer (tier 2), Lead Media Engineer (tier 3) and beyond. They are the heart of the sustainment efforts in the technology they lead. The Lead Media Engineer will interface with both external and internal partners to ensure their technical areas are operating with peak efficiency and reliability. Lead Media Engineers are also focused heavily on the design/build of their areas of expertise, often advancing innovative technology to maintain Disney's competitive technical edge. Lead Media Engineers perform beyond the technical to truly understand the businesses that benefit from our technology and make decisions and recommendations based on the complete business, operational and technical outlook, and requirements. Responsibilities and Duties of the Role: Respond to and resolve issues that affect acquisition, production, and content distribution across multiple DEE networks including system outages, malfunctions, and related technical problems, and conduct diagnostic testing, repair, and replacement activities necessary to solve routine, specialized, and complex problems. Utilize system health and performance monitoring software and platforms; troubleshoot and participate in repairing system problems and failures, participates in maintenance of systems, installs software patches, updates etc., to resolve and avoid service problems, and troubleshoots system problems as they relate to these services. Analyze and troubleshoot streaming audio/video signals in traditional SDI and IP 2110 essence flow routing environments. Analyze and troubleshoot cloud platforms as necessary Support third-party service providers by enforcing the agreed upon scope of services within the various signed service agreements (i.e., full time, freelance, union agencies, maintenance providers, contractors, service providers, etc.). Select, train, motivate and evaluate technical staff; provide or coordinate staff training; work with employees to correct deficiencies; implement discipline procedures. Support the procurement of equipment, supplies and materials for Media technology systems within budget guidelines; receive and maintain equipment and supplies. Support long range planning for future media technology needs, including capital improvements, to enhance production and distribution capabilities. Lead the development and implementation of policies and procedures regarding technology facilities with a focus on maximizing the integration of all systems to meet business, marketing, and entertainment goals. Lead operational support of all activities related to operating, maintaining, and programming the audio and video production/distribution systems across the enterprise and other connected properties. When required perform preventative maintenance on all broadcast systems and equipment, such as distribution systems, switchers, consoles, playout servers, cameras, robotics, electromechanical equipment, automation systems and radio facilities to ensure optimum broadcast performance. Participates in engineering projects at the direction of more experienced engineers. Reviews and contributes to system/workflow documentation. Participates in regular training and development objectives. Extraordinary influencer who is skilled at connecting the dots at the organization, strategy, program, project, and event levels. Able to persuade and change the thinking of others without damaging relationships. Comfortable working in a fast-paced, growth environment with minimal direction, delivering under tight deadlines while multitasking, prioritizing projects, and communicating priority updates to team members. Able to operate with limited resources, exhibit objective critical-thinking, and creatively solve problems. Motivated and inventive, always finds a way forward-eternal optimist with a committed drive for contributing and making a difference. Any other duties needed to help achieve Business Objectives. Required Education, Experience/Skills/Training: Minimum Qualifications: 7 + years of previous and relevant experience in leading others, developing technical strategies ensuring efficient sustainment, uptime, and overall stability of the technical environments of Media Engineering and live media production and distribution environments. Expert level knowledge and experience with integrating, implementing, or refreshing broadcast control room equipment, including familiarity with modern broadcast cabling infrastructure used in broadcast environments. Proficient with technologies like microservices, DevOps tools, design principles, practices, standards and guidelines Scripting proficiency will be an advantage (Python, NodeJS, Bash, PowerShell) Proficient in SMPTE standards for broadcast television and video production/streaming environments with a current certification such as not limited to ST 292M, ST 424M, ST 2110, ST 2059, IEE1588, ST 2022-7, SCTE-104, etc. Advanced level knowledge and experience with on-prem and cloud-based storage and compute infrastructure platforms and current technological offerings. At least one foundational cloud certification required, including but not limited to Microsoft Certified: Microsoft Azure Fundamentals, CompTIA Cloud+, AWS Certified Solutions Architect - Associate. Advanced level knowledge and experience with compression techniques such as MPEG2/4, HEVC, JPEG 2000, and JPEG XS Expert level knowledge and experience with Evertz software control systems such as frame control via VistaLink or Magnum, EQX/EXE routers, and their monitoring software VLPRO, SDVN, VIP, VUE, MVP. Advanced level knowledge and experience with major media systems and the vendors that supply them in areas such as asset management systems, file-based workflows, media acquisition, transcoding/encoding, graphics, and NAS/SAN technologies. Expert level knowledge and experience with Nielsen (NACAT), VANC equipment, Linear Acoustics, and other related systems. Expert level knowledge and experience with coordinated receiver decoders IRDs . click apply for full job details

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S. Air Force, Space Force, and Navy under the Joint Range Technical Services Contract, better known as J-Tech II. JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges. JOB SUMMARY - ESSENTIAL FUNCTIONS A Computer Scientist III provides software and systems engineering services, generally within a work unit or group. Employee will be responsible for the following functions/duties: Advise team and project managers on technical problems Interact with customers and project managers on a regular basis Work independently of direct supervision on projects of high complexity Use judgment and initiative in developing complex analytical and computational technologies and methodologies for solving problems, which may be technically unique to the industry Interpret customer requirements and develop and analyze the most appropriate approach to solve technical problems Develop design of system/software and associated design documentation Prepare and conduct design reviews Implement design through software coding or hardware and appropriately document the design implementation Plan and execute unit, integration, and system testing Participate in maintenance and sustainment activities of system/software Provide work direction or other guidance to subordinate technical staff Establish and maintain positive customer relations May support pursuit of new business efforts, lead proposal efforts, and act as a technical consultant Perform other job-related duties, as required RANGE POSITION DESCRIPTION The primary purpose is to provide software development related to modeling and simulation systems that support developmental and operational test and evaluation (DT&E and OT&E) test programs. These systems consist of primarily of computer networks, and system integration laboratories (SIL), but could also involve hardware-in-the-loop (HITL) facilities integrating digital and analog processors, cockpit displays and controls, aircraft, weapons, environmental, and threat models, databases, and operational flight program software related to interactive man-in-the-loop battlespace environments. Proficient in C++, Python, Linux or similar programming languages. Knowledge and understanding of Windows, Linux and any related operating systems, SQL databases. Knowledge with software modeling and simulation integrating one or more of the following: sensors, electronic warfare systems, communication links, databases, aircraft, threat models, databases and weapons systems. Knowledge with integrating software and modeling environments consisting of digital and analog processors, cockpit displays and controls, mechanical and electrical interfaces and flight program software. Knowledge with testing, deployment, configuration management and software sustainment. Ability to program (various languages and protocols), integrate/manipulate models and generate computer networks for virtual, live, and constructive simulation of combat aircraft avionics, armament, or electronic warfare systems. (C++, LINUX, WINDOWS, QT SQL, etc) The primary duties required are those necessary to provide technical expertise in the area of software development, integration of models, armament, sensor and electronic warfare systems for a complex integrated battlespace modeling and simulation environments consisting of digital & analog processors, cockpit displays & controls, mechanical & electrical interfaces, and operational flight program software. Integrate with civilian/military professionals engaged in software development, flight simulator development, engineering, operation, and maintenance. The incumbent develops software and will support the verification and validation of software, models and data from avionics, sensor, Electronic Warfare and weapons related test of manned and unmanned modeling and simulated combat aircraft, threat and missile systems. After analysis, results of tests are compared with system performance, mission requirements, and test plan objectives, and the outcome is presented in the form of understandable and accurate plots, tables, and other graphic representations. REQUIREMENTS - EDUCATION, TECHNICAL, AND WORK EXPERIENCE One of the following educational requirements must be met for this position: A bachelor's degree in an associated discipline and a minimum of four years of related experience A master's degree in an associated discipline and a minimum of two years of experience A PhD in an associated discipline In addition, a Computer Scientist III must possess the following qualifications: Experience with computer-based systems and applications Programming skills in languages used for job-specific programming tasks Familiarity with the application of industry standard hardware and software design and documentation techniques Experience with systems engineering and software development lifecycles Effective oral and written communication skills Good planning/organizational skills The candidate must possess a valid, state issued driver's license. Must be able to obtain and maintain security clearance. Must be a U.S. citizen. BENEFITS Medical, Dental, Vision Insurance Benefits Active on Day 1 Life Insurance Health Savings Accounts/FSA's Disability Insurance Paid Time Off 401(k) Plan Options with Employer Match JT4 will match 50%, up to an 8% contribution 100% Immediate Vesting Tuition Reimbursement OTHER RESPONSIBILITIES Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job. WORKING CONDITIONS Work is performed in a typical office environment with no unusual hazards. Occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required. Travel to remote company work locations may be required. DISCLAIMER The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of persons so classified. Tasking is in support of a Federal Government Contract that requires U.S. citizenship. Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license or other licenses/certifications, and the inability to obtain and maintain the required clearance, license or certification may affect an employee's ability to maintain employment. SCC:JSD12, A1412TW

Genesis10 is currently seeking an AWS Platform Engineer (Kubernetes / EKS / Terraform) for a 3-month contract-to-hire opportunity located in Columbus, OH, or Dallas, TX. This position is hybrid. Pay Range: $52.00 - $56.00 per hour, W2. Summary: We are seeking an experienced Platform Engineer to join the Platform team that manages the Data Science platform. Responsibilities: Support ongoing Data Science Infrastructure operations Develop and deploy AWS environments using CI/CD processes for a rapidly growing team of Data Scientists Manage and support large-scale environments to meet the needs of current and future Data Science teams Champion and mature the environment by implementing and overseeing the image management lifecycle process Assist in setting up and managing AWS accounts specifically for the Data Science platform Provide hands-on development using CI/CD tools such as Azure DevOps Utilize Infrastructure as Code (IaC) tools such as Terraform for environment setup and management Develop scripts and applications using programming languages such as Python Manage database technologies including Athena, Oracle, MySQL, and Postgres Leverage AWS services essential for Data Lake, Data Science, AI/ML teams Handle and resolve requests from development and business users, addressing any roadblocks Manage secured infrastructure, enforce security measures, and apply necessary guardrails Resolve infrastructure vulnerabilities within SLAs and maintain audit logs Perform system upgrades and patching, providing on-call support as needed Conduct root cause analysis and knowledge transfer sessions with the internal team Collaborate with Network, Database, Infrastructure, and Architecture teams to align on projects and strategies Requirements: Bachelor's degree in computer science or a related field 2+ years of experience in Data Science Infrastructure 2+ years of extensive experience with Data Lake, Data Science, and AI/ML services hosted on AWS infrastructure 2+ years working knowledge of the following technologies: Kubernetes AWS services such as SageMaker, Glue, Lambda, Athena CI/CD tools like Azure DevOps IaC tools like Terraform Docker and ECR (Elastic Container Registry) Security tools like AQUA and Kenna 2+ years of experience in technical write-ups Desired skills: AWS and Terraform certified professionals Kubernetes or CKA Familiarity with technical service management and product life cycle maintenance Knowledge of programming and scripting languages such as Python and shell scripting In-depth knowledge of database technologies like Athena, Oracle, MySQL Extensive experience with CI/CD and IaC tools such as Azure DevOps and Terraform Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! About Genesis10: Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can walk you through the unique benefits offered by that client. Benefits of Working with Genesis10: Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website . Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Overview: Pay Range $45.96hr - $50.96hr Requirement/Must Have: 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve fitting, object-oriented programming). Ability to build multi-scenario models to test assumptions and evaluate alternative planning outcomes. Foundational to intermediate experience with ML frameworks and methodologies (scikit-learn, XGBoost, or similar). Understanding of model validation metrics (R , MAE, RMSE, cross-validation, custom scoring functions). Proficiency in SQL for querying, joining tables, data manipulation, and interpreting complex queries. Understanding of statistical modeling, hypothesis testing, and experimental design. Ability to independently explore enterprise datasets and identify patterns, gaps, and opportunities. Experience handling messy data, identifying inconsistencies, and standardizing formats across heterogeneous systems. Experience merging multiple datasets from various enterprise data sources (SAP, Salesforce, Databricks, ERP/CRM). Sharp eye for finding outliers, errors, and unusual patterns in structured and unstructured data. Understanding of data modeling concepts across heterogeneous systems. Experience developing models for scenario modeling and predictive use cases. Familiarity with Large Language Models (LLMs) and basic prompt engineering techniques for practical business applications. Ability to review existing dashboards, ML models, and reports to understand design patterns, business requirements, and underlying data sources. Strong capability to read and interpret complex SQL queries to understand data flows and business logic. Skills to trace data lineage, review prepared data sources, and comprehend underlying data structures. Experience working with Data Engineers to ensure data requirements are correctly implemented at pipeline and infrastructure level. Responsibilities: Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor systems, finance data) to identify patterns, gaps, and opportunities for data-driven improvements. Work with Program Managers and/or Operations leaders to define which data assets are relevant for business use cases and specify how data from different systems should be accessed, interpreted, and used. Transform structured/unstructured datasets (often 100k+ rows) into actionable insights. Conduct data quality checks and identify/resolve data defects and abnormalities across enterprise platforms. Develop and validate Machine Learning models that support demand forecasting, scenario modeling, and predictive use cases for short-term and long-term business goals. Document analytical findings, model performance, and data definitions clearly to ensure transparency and reproducibility across the team. Experience working with Data Engineers to ensure data requirements are correctly implemented; ability to build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows. Translate business technical data challenges into concrete data science and AI/ML problem statements, acting as the domain-aware bridge between Engineering/Operations and the Digital team. Leverage Large Language Models (LLMs) and prompt engineering to build intelligent tools that augment human decision-making and automate workflows. Design and execute scenario planning models to test business assumptions (demand forecasts, resource capacity, cost projections) and evaluate 'what-if' outcomes for strategic decision-making. Track project execution data across P6 (Primavera) and other project management systems, linking planning assumptions to actual execution performance. Support variance analysis between planned assumptions (forecast hours, budgets, timelines) and actual project execution data to identify gaps, root causes, and trends. Build automated tracking solutions that monitor assumption validity as projects progress through lifecycle stages (planning design execution closeout). Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis. Provide data pipeline and data to build executive dashboards that visualize assumption-to-execution alignment, highlighting projects at risk due to assumption breakdown. Review and analyze existing dashboards, models, and data pipelines to understand design patterns, business requirements, and data flows. Read and interpret SQL queries, business logic, and semantic models embedded in current reports and analytical systems. Understand underlying data structures and prepared data sources to support maintenance and enhancement. Identify opportunities to optimize or consolidate existing reporting and modeling assets. Maintain consistency with established data standards and best practices. Translate complex data findings and model outputs into clear, actionable business insights for both technical and non-technical audiences. Resolve customer and internal user queries related to model outputs, data insights, or data defects. Support the Operations team in delivering centralized data analysis-based reporting solutions (including KPI), providing harmonized insights and KPIs to business stakeholders across global business lines. Collaborate closely with cross-functional Data analysts and Data engineers to ensure data requirements are correctly understood and implemented at pipeline and infrastructure level. Build and maintain a deep understanding of Semantic Data Models to ensure consistent data interpretation across applications and business systems. Stay current with the latest advancements in AI, ML, and data science, proactively proposing new approaches that could enhance our solutions. Contribute to the evolution of Engineering Data Quality, bringing innovative ideas and a forward-thinking mindset to continuously improve our modeling and tooling landscape. Nice to Have: Experience with TensorFlow, PyTorch, neural networks, or deep learning applications. Experience with pytest or similar frameworks for data science code quality. Experience with P6 (Primavera), MS Project, or similar project execution systems. Model versioning, experiment tracking (MLflow, Weights & Biases), deployment basics. Familiarity with Azure, AWS, or GCP for data science workflows. Experience with fine-tuning, RAG (Retrieval-Augmented Generation), or agent frameworks. Understanding of data governance principles and responsible AI practices. First-hand experience with SAP, Salesforce, Databricks, or similar ERP/CRM systems from a data consumption perspective. Skills: Strong verbal and written communication skills. Excellent communication and presentation skills. Ability to communicate effectively with stakeholders. Analytical thinking with strong problem-solving abilities. Technical curiosity and willingness to learn new tools and techniques. Collaborative mindset and ability to work in dynamic environments. Self-motivated with a strong sense of accountability. Proactive communication style. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research, analytics, and AI initiatives. The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts to develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs). The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building machine learning models, creating AI-powered applications, fine-tuning foundation models, implementing retrieval-augmented generation (RAG) systems, and supporting deployment of AI solutions in secure cloud environments. The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and a demonstrated interest in applying modern AI technologies to solve complex research and business problems. Location: This is a hybrid role based in our Washington, DC and Chicago downtown offices, with a minimum of six days per month in the office. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Methodology and Quantitative Social Sciences The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects. RESPONSIBILITIES: Collaborate with methodologists and subject matter experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives. Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks. Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis projects in NORC's research focus areas. Develop prompt engineering strategies and evaluation frameworks for generative AI systems. Implement model monitoring, testing, validation, and performance optimization processes. Apply natural language processing techniques for text classification, information extraction, summarization, and content analysis. Support experimentation with AI agents, tool calling, and workflow automation. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis. At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered). Advanced proficiency in Python. Strong experience with SQL and relational databases. Experience developing software, data pipelines, or analytical applications. Experience conducting statistical analysis and machine learning using real-world datasets. Knowledge of supervised and unsupervised machine learning methods. Experience working with Git and collaborative development workflows. Strong problem-solving and analytical skills. Excellent communication and technical writing skills. Ability to explain technical concepts to diverse audiences. Preferred Skills: Familiarity with AI agents and workflow orchestration frameworks. Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash). Developing machine learning models, data pipelines, and AI-powered applications, as described above, to support social science research. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $90,000-$100,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Position Title: Staff Data Scientist Description: Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI

Stefanini Group is hiring! Stefanini is looking for AWS Platform Engineer in San Francisco, CA/Richmond, VA(Onsite) For quick apply, please contact Prakhar Goel; Ph: W2 Candidates Only! Key Responsibilities: Lead the maintenance and optimization of our AWS data infrastructure, focusing on proactive improvements and regular maintenance Manage database platforms including Aurora PostgreSQL and MySQL, performing upgrades, rehydrations, and performance tuning Implement and maintain infrastructure as code using Terraform for consistent and repeatable deployments Configure and manage AWS data services including DMS and Glue Design and implement monitoring and alerting systems to ensure platform health and performance Develop automation scripts and tools to improve operational efficiency Spearhead cloud cost optimization initiatives and implement FinOps best practices for our data platform Collaborate with internal teams including data engineers, analysts, and scientists to understand their platform needs Participate in on-call rotation to support critical platform issues when they arise Document platform architecture, operations procedures, and best practices Provide technical guidance and mentorship to junior team members Qualifications: Required: 5+ years of experience managing AWS infrastructure with a focus on data services Strong hands-on experience with relational databases, particularly PostgreSQL and MySQL Experience with infrastructure as code, specifically Terraform Knowledge of AWS data services including DMS, Glue, and RDS/Aurora Solid understanding of database administration, including performance tuning and troubleshooting Experience with cloud cost management and FinOps practices Proficiency with Linux/Unix systems and shell scripting Experience with monitoring tools and implementing observability solutions Understanding of network security principles and best practices in cloud environments Preferred: AWS certifications (Data Engineer, Solutions Architect) Experience with database replication and high availability configurations Knowledge of data modeling and schema design Experience with containerization technologies (Docker, Kubernetes) Understanding of disaster recovery and business continuity planning Familiarity with CI/CD pipelines and DevOps practices Knowledge of Python or other programming languages for automation Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers. About Stefanini Group: The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company

Job Overview: Pay Range: $75hr - $80hr Requirement/Must Have: 10+ years of experience in AI and MLOps. Strong Python programming skills. Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of SQL and data processing. Familiarity with cloud services (AWS, Azure, or GCP). Exposure to MLOps tools such as MLflow, Kubeflow, Docker, Kubernetes, Git, or Jenkins. Strong analytical and problem-solving skills. Responsibilities: Design, develop, and deploy machine learning models. Build data pipelines and perform data preprocessing and feature engineering. Develop AI/ML solutions using Python, TensorFlow, PyTorch, or Scikit-learn. Work with cloud platforms (AWS, Azure, or GCP) to deploy ML solutions. Implement basic MLOps practices, including model deployment, monitoring, versioning, and CI/CD for ML workflows. Monitor model performance and retrain models as needed. Collaborate with data scientists, software engineers, and business stakeholders. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in Cincinnati, Ohio. Education and Experience " Technical Degree or related work experience. Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.). Experience programming and/or architecting a back-end language (Java, J2EE, etc.). WHAT YOU'LL DO: Job Responsibilities: Install/update disaster recovery procedures. Design, construct, install, test and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure that all systems meet the business/company requirements as well as industry practices. Integrate up-and-coming data management and software engineering technologies into existing data structures. Develop set processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data. Employ an array of technological languages and tools to connect systems together. Collaborate with members of your team (e.g., data architects, the IT team, data scientists) on the projects goals. Recommend different ways to constantly improve data reliability and quality. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S. Air Force, Space Force, and Navy under the Joint Range Technical Services Contract, better known as J-Tech II. JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges. JOB DUTIES - ESSENTIAL FUNCTIONS The Software Systems Engineer is a senior-level engineering position that will provide technical oversight and expertise on high level design and development of software, hardware and firmware systems. This includes overseeing projects from conception to completion, ensuring quality control and industry standards are enforced across all projects, while providing peer reviews and technical guidance as needed. An ideal Senior Software System Engineering candidate will be able to demonstrate the following: Deep understanding of Agile development projects with extensive experience in various programming languages (e.g. Python, C#, C++, Linux, Java), network architectures (e.g. TCP/IP, UDP), databases (e.g. SQL/NoSQL) and have a strong knowledge of operating systems, cloud platforms, and artificial intelligence. Familiarity with telemetry standards (e.g. IRIG 106), open-source software frameworks (e.g. Open MCT), aircraft and ground instrumentation systems, real-time data processing and cybersecurity. Communication excellence: Ability to communicate both verbally and in writing to effectively convey complex technical information to diverse audiences including vendors, subcontractors, customers, engineering teams, non-technical stakeholders and JT4 leadership. The Senior Software System Engineer will be responsible for the following functions: Technical Expertise: Evaluate current development designs and approaches to ensure technical specifications and requirements are being met. Ensure all development projects adhere to industry, quality, and security standards. Provide innovative and cost-effective engineering methodologies and practices to various development teams. Engineering Exchange: Facilitate and lead collaborative discussions with the customer and technical staff to include JT4 Technical exchanges and working groups. Participate in relevant engineering conferences such as ITEA and ITC. Coordinate, implement and oversee cross utilization of various technical expertise across the JT4 Enterprise. Act as a subject management expert resource on complex software and hardware development Project Management: Assist IPT project manager on overseeing multiple development projects simultaneously with duties including but not limited to: identifying potential risks, evaluating timelines and resources and ensuring all technical requirements are met. Team Leadership: Provide technical mentorship, training and guidance to technical staff and assist in resolving engineering challenges. Develop and apply advanced methods, theories, and research techniques in the investigation and solution of complex system design projects. Procurement: Support procurement activities for various projects as needed to include drafting of statements of work, vendor evaluations, as well as subcontract development and monitoring. Reporting and Analysis: Monitor key performance indicators and metrics and generate monthly performance reports that identify high performance as well as any areas needing improvement. Prepare and deliver technical engineering study-based papers. Innovation and Development: Stay up to date on emerging technologies and identify opportunities to incorporate new advancements into projects. Perform other job-related duties, as required. REQUIREMENTS - EDUCATION, TECHNICAL, AND WORK EXPERIENCE One of the following education requirements must be met for this position: A bachelor's degree in an associated discipline and a minimum of 14 years of related experience A master's degree in an associated discipline and a minimum of 10 years of experience A PhD in an associated discipline and a minimum of eight (8) years of experience In addition, a Computer Scientist V must possess the following qualifications: Demonstrated expertise with computer-based systems and applications Senior-level programing skills in languages used for job-specific programming tasks Senior-level expertise in the application of industry standard hardware and software design and documentation techniques Extensive knowledge of systems engineering and software development lifecycles Excellent verbal and written communication skills Excellent planning/organizational skills Ability to work under deadlines Must possess a valid, state issued driver's license Must be able to obtain and maintain security clearance Must be a U.S. citizen SALARY The expected salary range for this position is $140,000 to $190,000 annually. Note: The salary range offered for this position is a good faith description of the expected salary range this role will pay. JT4, LLC considers factors such as (but not limited to) responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer. BENEFITS Medical, Dental, Vision Insurance Benefits Active on Day 1 Life Insurance Health Savings Accounts/FSA's Disability Insurance Paid Time Off 401(k) Plan Options with Employer Match JT4 will match 50%, up to an 8% contribution 100% Immediate Vesting Tuition Reimbursement OTHER RESPONSIBILITIES Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job. WORKING CONDITIONS Work is performed in a typical office environment with no unusual hazards. Occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required. Travel to remote company work locations may be required. DISCLAIMER The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of persons so classified. Tasking is in support of a Federal Government Contract that requires U.S. citizenship. Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license or other licenses/certifications, and the inability to obtain and maintain the required clearance, license or certification may affect an employee's ability to maintain employment. SCC: JSD12, A1412TW

Who We Are: We develop, maintain, and advance MoSAIC (Modular System for Automation, Instrumentation, and Control), our LabVIEW-based software platform designed for automated R&D testing of electro-mechanical systems and components. MoSAIC enables seamless data acquisition, real-time control, scripting, and logging through integration with National Instruments (NI) hardware (e.g., PXI, CompactRIO) and RTOS. The platform supports a wide range of applications, including testing vehicle battery packs, electric motors, electric vehicles, internal combustion engines, drivetrains, locomotives, & many others. Objectives of this Role: Collaborate with a team of data acquisition, instrumentation, and controls experts to develop, maintain, and deploy LabVIEW-based MoSAIC software solutions to support data acquisition, test system control, and automation for a wide variety of systems across a 300+ person labor Apply expertise in LabVIEW, NI Real-Time Operating Systems (RTOS), and associated NI hardware to streamline test cell operations, increase resource efficiency, and meet challenging R&D objectives. Lead or contribute to all phases of system/software integration: Requirements Gathering and Analysis, System Design, Development, Integration and Testing, Acceptance, System Installation, Deployment, Maintenance, Troubleshooting, and Data Security. Contribute to setting standards for software design and coding practices. Carry out code reviews of junior developers. Daily and Monthly Responsibilities: Work in a team or independently to develop and support LabVIEW-based applications for controlling test articles in R&D testing environments. The working environment will include office as well as laboratory/field assignments. Capture user requirements, analyze needs, and refine software designs within time and cost constraints. Provide software modifications, enhancements, and technical assessments. Collaborate with engineers, technicians, and project stakeholders to deliver integrated solutions. Troubleshoot software, RTOS, instrumentation hardware (e.g., PXI, CompactRIO), sensors, and associated systems. Engage in hands-on troubleshooting and fieldwork to ensure software and hardware align with project requirements. Review code regarding functionality, coding standards, and cybersecurity. Provide recommended improvements. Primary job function is located at the SwRI main campus in San Antonio, Texas. Travel required on an as-needed basis to conduct project work. Requirements: Requires a Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Computer Systems Engineering or other similar Computer Science or engineering degree with related experience. 14 - 19 years: Must have LabVIEW development experience and expertise. Fewer years (min: 6 yrs) of LabVIEW experience may be acceptable, if applicant has significant experience in other programming languages, such as C, C++, C#, and/or Python application building (not just data processing). Must have NI Certified LabVIEW Architect (CLA) certification, and, if none, must be willing and able to obtain CLA certification within 2 years of start of employment. Must be well versed in object-oriented programming. Must have sufficient communication skills. Must possess project management experience, specifically regarding level of effort estimating and task planning & tracking. Must have working knowledge of the following phases of system/software integration: Requirements Gathering and Analysis, System Design, Development, Integration and Testing, Acceptance, System Installation, Deployment, Maintenance, Troubleshooting, and Data Security. A valid/clear driver's license is required.

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Analyst II to join the Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. For this role, we are looking for someone proficient in SAS, R, and Python. As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Location: This is a hybrid role based in either our Chicago Loop or downtown Washington, DC office, with a minimum of six days per month in the office. DEPARTMENT: Statistics and Data Science The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Statistics and Data Science department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, data disclosure control, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI) that support NORC's research. The department collaborates with the departments throughout NORC, as well as leading its own projects. RESPONSIBILITIES: Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management and analysis activities. Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries. Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations. Perform various types of data analysis and modeling, often involving multiple data sets. Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics. Apply AI tools to help improve efficiency. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in one of the following fields: statistics, math, data science, computer science, or computational social science or related field required. Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization. At least 2 years' experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical and quantitative modeling, statistical/analytic programming, and data mining Strong foundation in areas of statistics, mathematics, and data science. Coding skills in SAS, R, and Python required. Additional expertise in areas of machine learning such as natural language processing and supervised/unsupervised modelling preferred. Experience using AI tools and methods (e.g., prompt engineering, agentic AI, model evaluation) is preferred. Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs. Outstanding interpersonal and critical reasoning skills. Proficiency with MS Office software. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $72,000 - $88,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

W2 job to a staffing company Top skills: -Data Modeling -Machine Learning -Artificial Intelligence Schedule: Fully onsite KEY RESPONSIBILITES/REQUIREMENTS: As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers Specific Responsibilities include: • 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods. • 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment. • Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring. • Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful. • Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation. • Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions. • Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products. • Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts. • Communicate key findings to stakeholders using visualizations and/or other suitable methods. • Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression. • Able to compile analysis output and findings into a succinct story for technical and non-technical audiences. • Adapt to changes in a dynamic business environment and, support management initiatives. Background & Competencies Required: • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred. • Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc. • Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake • Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling. • Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc). • Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing. • Experience with MLOPS concepts and environments such as MLFLOW a plus. • Experience with basic linux administration and software development in a linux environment. • Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus • Must possess qualities of being curious and eagerness to learn . • Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices. • Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired. • Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus. • Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus. • Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired. • Must have a strong work ethic, integrity and work extremely well independently or in a team environment. Physical/Mental Demands and Working Conditions: The position requires the ability to perform the essential duties and responsibilities in the following environment: • Excellent interpersonal and communication skills. Must be skilled in developing and maintaining good working relationships with all appropriate levels within and outside the company. • Operate a computer keyboard and view a video display terminal more than 75% of work time in an office work environment • Frequently works additional hours beyond normal schedule. • Performs work under time schedules and stresses which are normally periodic or cyclical and include time sensitive job stress, fatigue, unpaid over-time, intellectual challenge, constant technical data feedback, language barriers, and project management stress. • Machines, tools, equipment, and work aids include PC's, printers, etc. most often associated with office work area equipment.

Description: We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling data at scale. These are some of the duties you will be expected to perform. Design new databases, enhance existing ones, write SQL queries and Transact-SQL (T-SQL) stored procedures Troubleshoot issues when tickets come in, find/document and implement elegant solutions Performance tune slow queries by re-writing, indexing and improving database design Work closely with Software Engineers and Data Scientists to improve data flow from collection to reporting Gather requirements from stakeholders when needed, document and implement them Maintain a positive, can-do attitude and a strong desire to learn and excel Monitor our databases, and take action when any system fails Learn new skills required for your job Requirements: Must be able to work in-office in St. Peters, MO, 5 days a week (this position is fully on-site) Bachelor's degree in Computer Science, MIS or equivalent work experience 4+ years of experience as a SQL Server Data Engineer Deep understanding of SQL, database design, normalization Good understanding of Database Engine internals such as buffer pool, parallelism, execution plans, indexing 2+ years of experience creating, managing and monitoring data pipelines (ETL/ELT) Positive attitude, with a strong desire to learn and excel Experience with C# or Python preferred 2+ years of experience with Business Intelligence (BI) tools preferred Pay Rate and Benefits Salary commensurate with experience Group Insurance (Medical, Dental, Vision, Life, etc.). 401k with Employer Match. Discounted CarShield policies. Discounted Tuition at Lindenwood University. Professional development opportunities. Basketball, and other recreation available on-site. Fitness facilities, with the option to take classes led by on-staff personal trainer (at St. Peters headquarters). And more! PI6-

Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:

The National Radio Astronomy Observatory (NRAO) seeks a Software Engineer Group Lead to guide development of common domain software supporting world-class radio telescopes. In this role, you will lead a small team of engineers designing, implementing, and maintaining high-reliability, scalable software for astronomical data processing and observatory operations. You will collaborate closely with scientists, system engineers, and IT staff, set technical direction, review code, and ensure best practices in software architecture, testing, and deployment. This position offers the opportunity to contribute directly to groundbreaking astronomical research in a collaborative, mission-driven environment.