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Job Description Senior .NET Developer - Job Description Position: Senior .NET Developer Experience: 8+ Years Employment Type: Full-Time Location: USA / Remote / Hybrid Job Summary We are looking for an experienced Senior .NET Developer to design, develop, and maintain scalable enterprise applications. The ideal candidate should have strong hands-on experience with C#, .NET Core/.NET 6+, ASP.NET Core, Web API, REST APIs, SQL Server, Azure, and modern frontend technologies . Key Responsibilities Design, develop, test, and maintain enterprise applications using C#, .NET Core, ASP.NET Core, and Web API . Build scalable and secure RESTful APIs and Web Services . Develop microservices-based applications and integrate third-party systems. Work with SQL Server, Entity Framework Core, LINQ, and stored procedures . Develop responsive web applications using React.js or Angular . Implement authentication and authorization using OAuth 2.0, JWT, and Azure AD . Deploy and manage applications using Microsoft Azure services. Work with Azure Functions, Azure App Services, Azure SQL, Service Bus, and Key Vault . Participate in application architecture, system design, and technical decision-making. Perform code reviews and ensure adherence to coding standards and best practices. Troubleshoot production issues and optimize application performance. Write unit and integration tests using xUnit, NUnit, or MSTest . Collaborate with business analysts, architects, QA engineers, DevOps engineers, and product teams. Participate in Agile/Scrum ceremonies and contribute to sprint planning and technical discussions. Required Technical Skills C# .NET / .NET Core / .NET 6+ ASP.NET Core Web API / REST API Entity Framework / Entity Framework Core LINQ SQL Server T-SQL / Stored Procedures Microservices Azure Git / GitHub / Azure DevOps CI/CD Docker JavaScript / TypeScript React.js or Angular HTML5 / CSS3 Unit Testing Preferred Skills Azure Functions Azure Service Bus Azure App Services Azure SQL Azure Key Vault Azure AD / Entra ID Redis RabbitMQ or Kafka Kubernetes Terraform PowerShell Design Patterns SOLID principles Domain-Driven Design (DDD) Clean Architecture Event-driven architecture Experience & Qualifications Bachelor's degree in Computer Science, Engineering, or related field preferred. 8+ years of professional software development experience . Strong experience building enterprise applications using the Microsoft .NET technology stack . Experience with cloud-based application development, preferably Azure . Strong communication, analytical, and problem-solving skills. Ability to work independently and mentor junior/mid-level developers. Senior .NET Developer, .NET Developer, C#, .NET Core, ASP.NET Core, ASP.NET MVC, Web API, REST API, Microservices, Entity Framework, EF Core, SQL Server, Azure, React, Angular, TypeScript, Azure DevOps, CI/CD, Docker, Kubernetes, Git, Azure Functions, Azure Service Bus. Email:

Job Description Now Hiring: Systems Engineer 4 Huntsville, AL We're looking for an experienced Systems Engineer 4 to support the design, development, integration, and testing of advanced avionics and communications systems in Huntsville, Alabama. This is a great opportunity for a senior Systems Engineer with a strong background in MBSE, Responsibilities Lead Systems Engineering activities across the full product lifecycle, including system design, development, integration, test, delivery, product support, and retirement . Develop, author, and deliver Systems Engineering artifacts and technical documentation in support of government contract requirements. Define and manage system requirements, system architectures, interfaces, and technical baselines. Apply Systems Engineering principles to resolve complex technical issues and support system-level design decisions. Develop and maintain requirements, architecture, verification, validation, and traceability documentation. Support system integration and verification activities, including development of test strategies, procedures, and documentation. Work with cross-functional engineering teams to ensure system requirements and technical objectives are met throughout development. Apply Model-Based Systems Engineering (MBSE) methods and tools to support system design, analysis, and lifecycle management. Use modeling and simulation techniques to support system design, analysis, validation, and technical decision-making. Develop technical deliverables for government customers and contract requirements. Review and defend engineering approaches, technical decisions, and Systems Engineering artifacts with internal teams and customers. Identify opportunities to improve system development processes, product quality, and engineering efficiency. Provide technical guidance and mentorship to less-experienced Systems Engineers. Required Qualifications: Bachelor's degree in Systems Engineering, Computer Science, Information Systems, Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related engineering/STEM discipline . 8+ years of Systems Engineering or closely related engineering experience . Active Secret U.S. Government Security Clearance . U.S. Citizenship required. Demonstrated experience personally developing, authoring, and delivering Systems Engineering artifacts rather than solely contributing to them. Experience supporting the full product lifecycle , from system design and development through integration, test, delivery, product support, and retirement. Experience with MBSE tools and methodologies , including SysML or comparable modeling approaches. Experience with system modeling, simulation, analysis, and validation. Experience developing technical documentation and deliverables for government contracts . Preferred Experience Defense or aerospace systems engineering experience. Experience with complex integrated avionics, communications, mission, or other defense systems. Experience with system requirements management and traceability. Experience developing system architectures and interface documentation. Experience with verification and validation activities. Experience with tools such as Cameo, MagicDraw, IBM Rhapsody, DOORS, Jama, or similar Systems Engineering tools . Experience working directly with government customers or government program requirements.

Job Description Job Title: PLM Program Manager & Onsite Coordinator Durations: Long-Term Job Description & Skill Requirement: • Overall experience of 10+ in Windchill PLM and 1 or more years of experience, with emphasis as Windchill Technical Architect for various customers, project life-cycle management systems, product data management, and associated networking systems. • Capable of managing the team of 25+ resources with different skill sets and guiding them with best practices, technical assistance and mentoring them for any few functionality and features • Capable of interfacing customers and coordinating the requirements, status updates, enhancements, deployments and go-live supports • Experienced conducting weekly, monthly and quarterly reviews and generating data for status reports for senior management review. • Experience in resource planning and allocation. • Technical liaison between customers and LTTS team. • Experienced in Windchill 13.0/13.1, Customizations of ACLs, Lifecycles, Workflows, InfoTasks, Webjects, OIRs, actions/action-models. • Experienced in use of Windchill PLM, PDMLink and PTC's product suite. Priority 1: • 10+ years of Windchill PLM experience. • Windchill Technical Architect experience. • Experience managing 25+ resources and coordinating customer requirements. • Windchill PLM, PDMLink, and PTC product suite. • 3+ years of Windchill customization (Version 10 and above). • Experience in project planning, resource allocation, status reporting, and customer coordination. Priority 2: • Windchill 13.0/13.1. • Customizations of ACLs, Lifecycles, Workflows, InfoTasks, Webjects, OIRs, and Actions/Action Models. • Java, JSP, JavaScript, J2EE, and XML. • Proposals, SOWs, effort estimation, Microsoft Project (MPP), and Visio. • Infrastructure design, system upgrades, deployments, and go-live support. Education & Experience: • Education: Bachelor's degree in Engineering, IT, or Computer Science, or 10+ years of experience in lieu of a degree as specified in the JD. • Experience: 10+ years in Windchill PLM; 3+ years in Windchill customization. Benefits: Eligible employees may have access to benefits offered by Intellectt Inc. in accordance with the applicable benefit plans and eligibility requirements. Equal Employment Opportunity: Intellectt Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: Pennington, NJ / Jersey City, NJ / Charlotte, NC Duration: Contract - 12 months Pay Range: Pennington: NJ2-150-04-71 -BR $96.92 (Pay Rate: $68.25) Jersey City: NJ2-525-31-02 -BR $96.92 (Pay Rate: $68.25) Charlotte: NC1-021-03-13 BR $ 92.39 (Pay Rate: $65.06) Job ID: 412171 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to join our team and lead the build-out of a next-generation GenAI platform. The ideal candidate will have strong experience in Python, modern microservices architectures, and AI solution delivery and a proven ability to design, implement, and scale resilient enterprise platforms that meet performance and regulatory requirements. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and related business use cases. Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives. Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation to improve end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform deployments. Conduct research and prototyping to identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to continuously improve solutions. Required Skills & Qualifications: 7+ years of Python development, including production-grade services and tooling. Experience implementing and integrating LLMs, including Retrieval Augmented Generation (RAG). FastAPI or similar Python web frameworks for building APIs and microservices. Extensive experience designing and implementing multi-tier and microservices application platforms. Proven ability to plan and lead delivery with functionally diverse and geographically dispersed teams. Track record of delivering projects on time and on budget. High proficiency in Unix scripting and automation for SDLC efficiencies. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks such as HTML, CSS, JavaScript, XML, React, and jQuery. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions in enterprise environments. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG patterns, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet a defined start date. Please account for any potential visa-related delays before submission. Schedule: 8 hours per day. Labor Type: Technical. Assessment: GLIDER - BOA-AppProg-IV-V-3 may apply. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Ensure your preferred approved location is listed at the top of your resume.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Credit Acceptance makes vehicle ownership possible for consumers other lenders decline, through a dealer network, an originations and servicing platform, and pricing and decisioning models refined over decades. The technology estate underneath this business was built project by project over a long period, and modernizing it is the largest engineering opportunity at the company. As the Distinguished Engineer, you are the senior-most individual contributor in Technology, reporting directly to the Chief Technology Officer. You will set the multi-year technical strategy for the company while staying close enough to the code and systems to remain credible - this is not an architect role that reviews designs from a distance, nor a strong engineer role that goes deep in a single domain. Two things sit at the center of the job: the target architecture for the enterprise, and the architecture for running AI agents across it. You will not own a team; you will own the hardest technical problems the company has, and get them resolved by convincing the people who do own the teams. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated . click apply for full job details

Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. 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.

Senior Full Stack Developer (Java, Spring Boot, React & GCP) Overview / Summary We are seeking an experienced Senior Full Stack Developer with strong expertise in Java, Spring Boot, React, and Google Cloud Platform (GCP). The ideal candidate will have 8+ years of IT experience, strong analytical and problem-solving abilities, and experience designing, developing, and maintaining scalable enterprise applications. The candidate should be comfortable contributing to architectural decisions, collaborating with cross-functional teams, and delivering high-quality software solutions across frontend, backend, and database layers. Key Responsibilities Design, develop, and maintain scalable full-stack applications across frontend, backend, and database layers. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Build and consume RESTful microservices using Java and Spring Boot. Develop responsive frontend applications using React, Redux, or Angular, along with HTML5 and CSS. Design, develop, and support cloud-native applications using Google Cloud Platform (GCP). Work with GCP services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, Cloud Functions, Memorystore for Redis, and application monitoring tools. Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices. Participate in system architecture and technical decision-making. Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), regression, and performance testing practices. Implement UI and end-to-end testing using Selenium, Cypress, or Playwright. Optimize application performance through JVM tuning and profiling. Execute API load and performance testing. Ensure code quality through established development practices, automated testing, and code reviews. Collaborate with product managers and engineering teams to break down requirements into production-ready user stories. Establish development best practices to improve efficiency and minimize technical risks. Use DevOps tools such as Jenkins, Tekton, SonarQube, Checkmarx, Fossa, and GitHub to support software development and deployment. Design, implement, and maintain enterprise CI/CD pipelines using Jenkins. Support automated testing, security scanning, and build/deployment troubleshooting. Establish and maintain frontend development standards, including accessible HTML5 and responsive CSS practices. Required Qualifications 8+ years of IT experience, including at least 6 years of software development experience. Bachelor's degree. Strong programming experience in at least one language, with practical experience in two coding languages or advanced expertise in one. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Cloud Storage, Pub/Sub, Cloud SQL, and IAM. Strong proficiency in Java, including object-oriented programming, design patterns, code optimization, and troubleshooting. Extensive experience developing production-ready applications using Spring Boot, REST APIs, dependency injection, validation, exception handling, and automated testing. Strong experience developing responsive and reusable user interfaces using React, including hooks, state management, API integration, and component testing. Experience designing, developing, documenting, and consuming RESTful APIs. Understanding of HTTP methods, status codes, authentication, authorization, pagination, versioning, and error handling. Experience with acceptance testing, translating business requirements into test scenarios, and supporting user acceptance testing (UAT). Experience with Node.js and backend service development. Advanced knowledge of HTML5, semantic markup, accessibility, and responsive web standards. Strong CSS skills, including Flexbox, Grid, media queries, and modern CSS architecture. Hands-on experience designing and maintaining Jenkins CI/CD pipelines, including declarative Jenkinsfiles, automated testing, and security integrations. Experience using GitHub for source control, branching, pull requests, code reviews, and CI/CD workflows. Experience with automated UI and end-to-end testing frameworks such as Selenium, Cypress, or Playwright. Preferred Qualifications Experience with AI-assisted development. Experience with TypeScript and Node.js. Familiarity with CI/CD pipelines and automation. Knowledge of DevOps methodologies. Experience with Unix/Linux environments and Shell scripting. Experience with Docker and Kubernetes. Working knowledge of Redis. Experience with performance testing and application optimization. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: New York, NY or Jersey City, NJ Duration: Contract - 12 months Pay Range: NY, NY - BR $ 101.66 (Pay Rate: $71.59) Jersey City: NJ - BR $96.92 (Pay Rate: $68.25) Job ID: 412172 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to lead the end-to-end design and implementation of a new GenAI platform and its business use cases. The ideal candidate will have strong experience in Python, LLMs, and modern application architectures and a proven ability to deliver scalable, resilient platforms that meet performance and regulatory requirements. A start date within 2-4 weeks of offer will be required due to business needs. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and business use cases. Develop architectural approaches for AI software and hardware integration with focus on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill objectives. Lead cross-disciplinary teams to deliver solutions aligned with priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation for end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform needs. Conduct research and prototyping to evaluate and identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to inform continuous improvement. Required Skills & Qualifications: 7+ years of hands-on Python development, including Unix scripting. Experience with Large Language Models (1+ year) and Retrieval Augmented Generation (RAG). Extensive experience designing and implementing multi-tier and microservices-based application platforms. Proficiency with FastAPI for building services and APIs. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks, including HTML, CSS, JavaScript, XML, React, and jQuery. Proven ability to plan and lead delivery for diverse, geographically dispersed teams with on-time, on-budget outcomes. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet the outlined start date. Hours per day: 8. Labor type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Please list your location at the top of your resume for consideration.

Genesis10 is currently seeking a Lead/Senior Software Engineer - Remote for a contract position with an Agricultural Cooperative located in Inver Grove Heights, MN. This is a 9+ month contract opportunity. Compensation: $91.00 - $94.00 per hour, W2, based on qualifications Position Overview: In this role, you will design and deliver secure, scalable web and mobile applications, integrate identity and access management solutions using Okta, and manage cloud infrastructure through infrastructure as code using Terraform. You will collaborate with a talented team and make a measurable impact on the digital experience of our client's customers. The ideal candidate has strong technical expertise, excellent communication skills, and the ability to work collaboratively and independently. Key Responsibilities: Provide technical leadership to team, assist in work breakdown, and guide system design, keeping product outcomes, technical goals, and customer needs in mind Design, prototype, refine, and implement solutions to complex business and technical problems, considering system capacity, security, performance, maintainability, and desired outcomes Develop and support customer-facing applications using .NET, C#, Angular, and related web technologies Implement and support secure authentication and authorization using Okta, including application integrations, single sign-on (SSO), and standards such as OpenID Connect (OIDC) and OAuth 2.0 Develop and maintain Terraform configurations to provision and manage cloud infrastructure consistently across environments Collaborate with architecture, security, and platform teams to align application integrations and infrastructure automation with established standards and best practices Experience in preventing vulnerabilities from being integrated into products from 3rd party tools Stay current with web technologies and recommend improvements to application architecture, development practices, and engineering tools Collaborate with business stakeholders, subject matter experts, business analysts, quality assurance personnel, architects, and technical leads to deliver effective solutions Troubleshoot and resolve complex application, identity integration, and infrastructure issues Mentor less experienced software engineers and conduct code reviews to promote quality, security, and maintainability Participate in scheduled and unscheduled weekend or after-hours maintenance, support, and on-call duties as needed Primary Requirements: 10+ years of software development experience with web technologies, middleware, and backend databases Strong development skills in .NET, C#, Angular 16 or later, TypeScript, CSS, and/or Sass Hands-on experience integrating applications with Okta for authentication and authorization, including familiarity with SSO, OIDC, SAML, and OAuth 2.0 Hands-on experience AWS and using Terraform to provision and manage cloud infrastructure, including working with reusable configurations and infrastructure state Experience identifying and applying common software design patterns to build modular, maintainable, and scalable applications Understanding of interactive design principles and attention to technical and visual detail Comprehensive knowledge of the Software Development Life Cycle Demonstrated ability to troubleshoot and resolve complex technical issues Experience developing mobile applications and publishing them to the Google Play Store and Apple App Store Experience working on an Agile team using the Scrum framework in a fast-paced, collaborative environment Experience leading and mentoring developers in engineering best practices, troubleshooting, and professional growth Experience maintaining, upgrading, and re-factoring legacy applications, opportunistically prioritizing a tech debt and a tech roadmap for modernizing the tech stack Desired Skills: Bachelor s degree in Information Technology, Computer Science, Information Systems, or relevant experience Experience with advanced Okta capabilities, such as multifactor authentication (MFA), customer identity integrations, and identity lifecycle workflows Experience developing reusable Terraform modules, managing remote state, and integrating infrastructure validation and deployment into CI/CD pipelines Experience building and maintaining CI/CD pipelines and automating development and operational processes Experience deploying, operating, and managing services in AWS or other cloud environments Experience with AWS Lambda Experience writing APIs with Python Experience with using AI to generate and test software 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! 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 talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who 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 of 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.

Pay Range: $55.00hr - $60.00hr Job Overview: The Technical Architect is responsible for overseeing the technical architecture, design, and development of Spring Boot, DevOps solutions, and full-stack Java solutions. This role involves leading a team of developers to ensure the successful implementation of architecture best practices and delivering high-quality technical solutions. Responsibilities: Develop and maintain technical architecture blueprints for Spring Boot, DevOps solutions, and full-stack Java projects. Provide technical guidance and mentorship to development teams to ensure adherence to best practices. Collaborate with stakeholders to gather requirements and design technical solutions that meet business needs. Evaluate and recommend tools, technologies, and frameworks to enhance development processes. Lead the implementation of DevOps practices to improve efficiency and quality in the software development lifecycle. Requirements: Proficiency in the Spring Boot framework for developing robust and scalable applications. Expertise in DevOps solutions, including CI/CD pipelines, automated testing, and Infrastructure as Code. Strong full-stack development skills in Java, JavaScript, HTML, and CSS. Knowledge of cloud platforms such as AWS, Azure, or GCP for deploying and managing applications. Excellent problem-solving abilities and communication skills to effectively interact with cross-functional teams. Ability to prioritize tasks, meet deadlines, and adapt to changing project requirements. 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 Description About Photon Photon is a Digital Engineering and Digital Modernization company founded in 1999, partnering with leading global enterprises, including Fortune 500 organizations, to build and modernize digital platforms and experiences. Job Summary We are seeking an experienced Senior DevOps Engineer to own and manage infrastructure, CI/CD pipelines, and cloud operations. In this role, you will build secure, automated, and repeatable platforms that enable engineering teams to deliver software quickly, reliably, and safely. The ideal candidate will have strong expertise in cloud infrastructure, Terraform, Jenkins, Docker, automation, and infrastructure management, as well as a solid understanding of security, monitoring, and reliability best practices. Key Responsibilities Provision, configure, and manage cloud infrastructure on GCP and/or AWS using Terraform and infrastructure-as-code best practices. Design, maintain, and continuously improve CI/CD pipelines using Jenkins. Containerize applications using Docker and support container-based deployment workflows. Develop and maintain automation scripts using Bash, Python, or similar scripting languages to reduce manual operational tasks. Implement and maintain monitoring, logging, alerting, and incident response processes. Drive cloud security, access control, cost optimization, and infrastructure reliability improvements. Collaborate with development and QA teams to streamline build, testing, and release processes. Identify opportunities to improve infrastructure automation, deployment efficiency, and operational stability. Mentor team members and promote DevOps best practices across engineering teams. Required Skills and Qualifications 10+ years of experience in DevOps, Site Reliability Engineering (SRE), or infrastructure engineering. Bachelor's degree in Computer Science or equivalent. Expert-level hands-on experience with Terraform and infrastructure-as-code practices. Strong hands-on experience designing, developing, and maintaining Jenkins pipelines. Production-level experience managing cloud environments using GCP and/or AWS. Proficiency in Docker and containerization technologies. Strong scripting skills using Bash, Python, or similar languages. Solid understanding of networking concepts, cloud security, and access control. Strong experience with Linux administration. Understanding of infrastructure reliability, monitoring, and operational best practices. Preferred Qualifications Experience with Kubernetes and Helm for container orchestration and deployment management. Familiarity with observability and monitoring tools such as Prometheus, Grafana, and Datadog. Experience with GitOps practices and policy-as-code frameworks.

Salary: $125,000 - $200,000 DCS is seeking a Senior Software Engineer to join its teams developing and modernizing Air Force and Navy mission planning software on an Agile/SAFe team. This position can be performed 100% remote within Eastern Standard or Central Standard time zones. Essential Job Functions: Contribute to software development as part of a team contributing to a multi-team, multi-organization enterprise using Scaled Agile Framework (SAFe). Take ownership of and responsibility for software products being developed. Gain domain knowledge and contribute to providing technical guidance to software and test engineers. Represent the team in meetings and presentations as needed, including providing technical analysis & recommendations, and the development & presentation of meeting materials. Work with other senior engineers and architects to relentlessly improve software developed. Provide guidance and mentoring to more junior software engineers. Have a willingness to collaborate with other development teams, customers and users to produce the desired product that strives to exceed customer expectations. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Bachelor's degree in a related discipline plus 12 years relevant experience, or Master's degree plus 10 years experience. Ability to obtain Interim Secret Clearance within 2 months, and Full Secret Clearance within 9 months. Experience with application and / or service development using Java, C++, and / or C# Ability to work with a geographically-distributed team. Excellent verbal and written communication skills. Desired Skills: Experience with JMPS and / or NOMS is highly desired. Experience with COM. Experience with Kubernetes/Helm. Experience with RabbitMQ. Knowledge and familiarity with Git. Knowledge and familiarity with any of the following: Jira, Bitbucket, Confluence, Jenkins, Rancher, SonarQube Experience with Web Application Design and Development using the following: React, Jest, TypeScript/JavaScript, Node, NPM, HTML5, CSS. Experience with Postgres/SQL Database. Experience with Docker Experience with Microservice architectures. Experience with Agile Scrum or Scaled Agile Framework (SAFe), any SAFe certification is a plus. Knowledge and understanding of mission planning needs of military aviators.

Job Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Job Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details