10 jobs found in Plano

Hello, Greetings This is Harsh from Jconnect INC. Below is the requirement with my client. Please share the updated resume and below details. Title: LAN ACI Engineer Location: Plano, TX (Onsite) Duration: Full-time only JOB DESCRIPTION: Must Have Technical/Functional Skills: Strong knowledge in Switching technologies - Tenant, VRFs, BDs, EPGs, VXLAN, STP, Trunking, Ether channel, HSRP, VRRP, LACP, PaGP, BGP, OSPF, MP-BGP Switching Models Nexus 9K, 7K, 5K, 2K, VPC, FEX, VDC, Cisco VSS, VPC, Cisco Catalyst 6800, 6500, 4500, 3800, with stacking. Deep understanding of Internet Protocol (IP) addressing and Variable Length Subnet Mask (VLSM). Extensive experience on designing and implementing Cisco ACI, SDA (Software-Defined Access), DNAC with Data Center Networking Technologies and Cloud Solutions. Strong experience with Monitoring and Alerting Tools: Cisco APIC/ACI, Nexus Dashboard, Cisco DNAC, Cisco ISE, PagerDuty, Nagios & Thousand Eyes. CCNP Certified (Routing & Switching) & Higher Strong knowledge on Cisco Data Center with ACI environment (Single/Multi Pod) Expert Knowledge of LAN switching technologies: STP, Trunking, Ether channel and good understanding of high availability fundamentals (HSRP and VRRP) Good understanding of Local Area Network (LAN) switching technologies including ACI, APIC, VXLAN, fabric path, SDA, DNAC, ISE, Spanning Tree, Virtual LAN (VLAN), and VLAN Trunking Protocol (VTP) concepts. Good hands-on experience on the load balancing concepts like - LACP, PaGP Strong hands-on work experience with Cisco Nexus 9K, 7K, 5K, 2K devices, Cisco Catalyst 9K, 3K & 4K series. Experience in designing, deploying, and troubleshooting VSS, VDC, VPC, OTV, Fabric path, FCoE and multi-tenancy in the datacenter. Deep understanding of Internet Protocol (IP) addressing and Variable Length Subnet Mask (VLSM). Good understanding of DHCP, DNS - Hands-on experience & troubleshooting knowledge on Infoblox. Troubleshooting network link/device hardware/configuration issues, isolating the problem, fixing the problem Install, configure, and support large-scale production and corporate network infrastructure including routers, switches, console servers and equipment. Schedule and perform network maintenance, repair, and upgrade tasks as needed while limiting the impact on the production network. Very strong Layer 2 & 3 Networking skills solid BGP, IPV4, IPv6, Change management. Troubleshooting the routing protocols like BGP, EIGRP, Static and OSPF and work with the ISPs and internal teams to resolve the issues. Experience working on CoS, QoS, WRED and related quality of service parameters. Working knowledge on MPLS, Metro Ethernet and Hub & Spoke concepts Roles & Responsibilities: Provide operations support for Enterprise LAN, Security, Data Center, and Campus Network platforms across North America locations. Installing, configuring, and supporting network equipment including Switches & Routers using APIC & DNAC tool. Configuration and Operational support experience with Cisco ACI - Spine-leaf switches, APIC and APIC-EM controller, Nexus switches. Resolve connectivity problems between applications, EPGs, and external networks. Diagnose routing, contracts, and endpoint learning issues. Maintain external connections (L3Out, firewalls, load balancers) and Apply micro segmentation and policy rules. Add or update ACI objects (tenants, VRFs, bridge domains, EPGs, contracts). Deep understanding of network orchestration and automation using Cisco ACI/APIC, SDA & DNAC with ISE integration. Procuring network equipment and managing subcontractors involved with network installation. Configuring routing and switching to maximize network efficiency and security. Supervise and or performing site installs, maintenance, upgrades or software enhancements to support the network infrastructure needs. Plan and execute APIC and switch firmware upgrades. Function as a point of escalation for operational entities regarding regular or complex issues. Maximizing network performance through ongoing monitoring and troubleshooting Investigating faults in the network Resolve incidents/problems/Changes according to established procedures. Work on Service improvement activities and completing it within the target dates. Explore & Support automation where possible. Work closely with customer, Infrastructure teams and vendors such as Cisco. Reporting network status to key stakeholders If you are interested, please send me your updated resume ASAP with below details: Full Name: Alternate mail ID: Current Location/Zip: Expected salary: Willingness to travel/relocate to job location: Visa/Work Permit Status: Notice Period/Availability to Start: Preferred Interview timings (Specify Time zone): LinkedIn URL: Looking forward for your response Thanks and Regards, Harsh Srivastava Jconnect Infotech Inc. Cherry Hill, NJ 08034 Email: We are an E-Verify and Equal Employment Opportunity Employer with adherence to EEO policy The contents of this email message and any attachments are intended solely for the addressee(s) and may contain confidential and/or privileged information and may be legally protected from disclosure. If you are not the intended recipient of this message or their agent, or if this message has been addressed to you in error, please immediately alert the sender by reply email and then delete this message and any attachments. If you are not the intended recipient, you are hereby notified that any use, dissemination, copying, or storage of this message or its attachments is strictly prohibited.

Position Summary Role and Responsibilities Act as a Strategic Owner of the Business, Accountable for delivering Revenue / Share of SEA% / meeting sellout targets. Manage aged inventory, NPI Playbook + tracking + execution across Develop data-drive perspectives on the end-to-end operations of the business, from upper-funnel marketing and merchandising to on-site path-to-purchase and experience, through conversion, fulfillment and customer service; identify areas of opportunity and work cross-functionally to drive operational efficiencies. Create a best-in-class shopping experience for your business by partnering with internal stakeholders across Merchandising, Marketing, Engineering, Operations, Analytics, and Customer Service; always optimizing and focusing and removing purchase barriers and creating a customer-centric, shopping experience. Analyze large sets of data, extract insights, and present recommendations to senior leadership and key stakeholders to improve performance and ROI. Develop and maintain automated reporting with highest accuracy levels and dashboards to track the effectiveness of performance activities ensuring key stakeholders are informed of performance metrics in near real-time. Conduct deep dives into the performance: using tools like Tableau for Data Visualization other BI platforms to identify trends, opportunities, and areas for improvement. Stay up to date with industry trends, emerging technologies, and best practices to continuously enhance marketing measurement processes and campaigns optimization strategies. Setup daily/weekly Marketing Traffic, Orders, CVR, ROAS plan by each function by coordinating SCM team. Collaborate with leadership, SCM Team to build accurate forecasts, spend plans, establish KPIs for Sellout Platform initiatives based on historical data, time Series Analysis and predictive analytics & Forecasting. Send out a weekly business review email assessing the business. Owner / Creator of the Promo Calendar & work with PM groups to deliver the plan. Influences for all Demand Generation + Site Merchandizing + Sellout Platform activities including but not limited to CRM, Affiliates, Paid Search, Sellout Platforms: Trade-in, EPP, ePromoter, BOPIS, BMSM, always on. Influence product roadmap planning & execution. Influence roadmap for Configurator / CEJ / Marketing journey of the business: Drive the right Messaging in Email, Drives right pricing/message in CRM email. Manage A/B Testing for improving CEJ. Skills and Qualifications Bachelor's degree in Information Systems, Digital Marketing, Business Administration, a related field, or a foreign equivalent plus 3 years of progressively responsible post-baccalaureate experience in job offered or any sales engineer/account management related job titles. Applicants must have 3 years of experience in the following: (1) Sales, Traffic, and Revenue Forecasting for eCommerce business using historical trends, seasonality and promotional impacts; (2) Category Pricing and Promotional Strategy; (3) Financial modeling skills and P&L Management; (4) Competitive and Market landscape Analysis; (5) Shelf Strategy and Online Merchandising Optimization; (6) Strategic Business Planning and Annual Operating Plan Development; and (7) Assortment Planning, Product Portfolio Management, Demand Planning, and Product Portfolio Management. No sponsorship available for this position. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

Position Summary This role is not eligible for immigration sponsorship Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems. For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States-investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we're creating smarter, sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd. To learn more, visit For the latest news, visit Role and Responsibilities As Senior Digital Marketing Manager for Samsung Builder and Dacor Luxury Appliances, you will oversee and manage all digital touchpoints for the channel/brand. You'll have a strong skill set in data, insights and analytics and leverage these to evolve and optimize digital initiatives with the ability to course correct activity based on KPIs and sales performance. This is a role which requires collaboration with key internal cross-functional teams as well as leading external agency partners with project scoping, budget management and briefs to deliver high quality output while maximizing efficiency. You will be a thought leader and have the ability to bring new ideas and initiatives to further grow Dacor's digital footprint. Responsibilities and Duties: Dot com: and collaborates to define and drive the execution of the customer journey and user experience working towards a best-in-class digital experience to increase awareness, consideration, conversion and retention. Identify and scope evolutions of content and various audience needs to ensure we are providing our customer with the necessary, unique and distinctive content. Digital Paid Media: leads the development of an overarching digital media strategy ensuring multiple stakeholders are aligned, including leadership. Drives the implementation of the strategy through a formal brief to develop a detailed tactical and KPI measurement plan. Establishes a formal and frequent cadence of reporting results through the development of a KPI dashboard with on-going optimization of the plan to maximize ROI. Email Marketing: defines, implements and drives the brand(s) email marketing strategy including audience targeting, go-to-market plan and campaign deployment. You will develop personalized content for all audience channels and define and execute a test and learn approach to continually optimize marketing ROI opportunity, impart findings into an evergreen strategy. Ratings & Reviews (Dacor): defines and implements the brands community review strategy through owned and shared digital platforms. Partner with reviews seeding vendors to recruit community members, share product guides for campaign briefs, and monitor product delivery. Develop agency relationship to ensure Dacor reviews are optimized and customer feedback is handled appropriately. Share reporting to internal teams on reviews results, highlighting product feature successes and positive experiences as well as lowlights and opportunities for improvement Data & Analytics: delivers insightful reporting and analytics that measures effectiveness of all digital touchpoints. Defines and tracks key metrics to optimize marketing campaigns, help with dashboards and deliver ad hoc analysis. New Initiatives: ability to deliver new and impactful digital opportunities to directly impact our customer's consideration and conversion. Partnership: collaborates with all cross-function stakeholders including leadership, sales and product marketing to ensure alignment. Takes direction from Brand Experience stakeholders to ensure brand standards and brand content is not compromised. Skills and Qualifications Bachelor's Degree with 8+ years of experience planning, executing and measuring digital media tactics with tangible examples of how the performance of the plans impacted business results. 5+ years in a CRM specific role having demonstrated the ability to develop a CRM strategy and plan personalized content for email campaigns. Experience with social listening dashboards Working knowledge of the media landscape and performance-based digital marketing Experience managing indirect teams, include agency oversight Excellent project management skills, ability to identify interdependencies, overcome obstacles, and able to manage complex projects on time and deliver quality results. Experience developing net new programs, test n learns, unique and differentiated campaign concepts/communications framework - - Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 12 months), Paid Time Off, Student Loan Program (after 12 months), Wellness Incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance. To ensure a fair and transparent recruitment process, please do not use GenAI tools during your interview unless explicitly permitted; failure to adhere to these guidelines may result in disqualification from the recruitment process. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team ) or for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

Digital Acquisition & Brand Marketing Manager Build Brands. Create Content. Drive Growth. Are you a creative marketer who loves social media, compelling content, and building brands that connect with customers? We're looking for a Digital Acquisition & Brand Marketing Manager who can bring strategy and creativity together to help grow two established brands in the beauty, spa, aesthetics, and healthcare industries. In this hands-on role, you'll help shape how Spa Order and Delasco show up across social media, ecommerce, email, campaigns, influencer partnerships, education, and industry events. This isn't simply a social media posting role. You'll have the opportunity to influence brand strategy, develop creative content, build customer acquisition campaigns, analyze performance, and help define how our brands connect with their audiences. Two Brands. One Big Opportunity. Spa Order serves professionals in the spa, waxing, esthetics, and beauty industries with products and solutions designed to support their businesses and the services they provide. Delasco serves professionals in the dermatology and aesthetics space, providing products and education within the healthcare and aesthetic industries. You'll help develop distinct marketing strategies for each brand while ensuring both have a consistent, compelling presence across digital channels. If You Enjoy Developing social media strategies and content Creating engaging photos, videos, and short-form content Building and evolving brand identity and voice Developing campaigns that attract and retain customers Building relationships with influencers and aethetic/skincare industry professionals Using analytics and trends to improve performance Leveraging AI and emerging tools to work smarter Turning creative ideas into measurable business results We want someone who is creative, curious, collaborative, and ready to take ownership. If you're excited by the opportunity to create, experiment, build, and grow , we'd love to hear from you. Work Schedule Monday-Thursday: Onsite at our Plano, TX Headquarters Friday: Remote Full-Time Exempt

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale. You'll lead the detailed technical design, development, and implementation of core agentic architectures and multi-agent workflows using emerging technologies. You'll focus on system-level architectural design, develop and review complex models and application code, and ensure the high availability, performance, and security of our generative AI applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in generative and agentic machine learning engineering. What you'll do in the role: Architect Agentic Platforms: Design, develop, and scale core agentic engines and multi-agent workflow solutions, enabling seamless composition of conversational and business automation workflows. Drive AI Evaluation & Trust: Build and integrate scalable evaluation (Evals) and observability frameworks into solutions to ensure model predictability, performance monitoring, and mitigation of model risk. Deliver High-Impact Use Cases: Partner with cross-functional product and business teams to deploy production AI solutions, including next-generation consumer AI experiences, intelligent recommendation engines, and advanced conversational assistants. Enforce Enterprise Guardrails: Ensure all AI/ML applications strictly adhere to robust data privacy standards, regulatory postures, and framework auditability/explainability. Translate Practical Research: Stay abreast of practical advancements in LLM optimization, retrieval-augmented generation (RAG), and multi-agent design patterns, judiciously applying these novel techniques to production systems. Technical Leadership & Code Excellence: Provide technical direction, architectural oversight, and rigorous code reviews for engineering teams, fostering a culture of modern engineering excellence. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex) and Vector Databases 3 years of experience building, scaling, and optimizing Large Language Model (LLM) or GenAI orchestration systems in production 2+ years of experience building automated evaluations (Evals) and observability pipelines for LLMs 3+ years of on-the-job experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow Experience deploying AI solutions within a strictly regulated environment, incorporating data privacy and model risk governance Demonstrated ability to lead technical architecture design and provide deep technical guidance to engineering teams Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform ML industry impact through conference presentations, papers, blog posts, open-source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Plano, TX: $179,400 - $204,700 for Lead Machine Learning 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (AI Foundations) Overview: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (GenAI Platform, Agentic Infrastructure) Overview: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Conduent is seeking a detail-oriented Printer Operator to support high-volume document production for government and commercial clients. In this role, you will set up, operate, and monitor digital and high-speed printers, ensuring output meets quality, accuracy, and turnaround standards. Responsibilities include loading media, performing basic equipment maintenance, troubleshooting print issues, following production schedules, and maintaining logs. You'll collaborate with operations and quality teams in a performance-driven, client-focused environment with opportunities to learn automation and digital workflow tools. Responsibilities Set up, operate, and monitor high-speed and digital printers for production jobs Load paper, ink, and consumables; adjust settings based on job specifications Inspect output for print quality, accuracy, and completeness Troubleshoot routine printer and job issues, escalating complex problems as needed Perform basic preventive maintenance and cleaning on printing equipment Follow production schedules, priorities, and client service-level requirements Maintain accurate production logs, labels, and documentation Follow safety, security, and data-handling procedures in a controlled environment Collaborate with operations and quality teams to meet performance targets Support continuous improvement efforts in print workflows and processes Required Skills High-speed printer operation Digital printing systems Print job setup and scheduling Basic equipment maintenance Quality control and inspection Troubleshooting print issues Document handling and finishing Production documentation and logs Safety and compliance procedures Basic computer literacy