Role Description ECS is seeking a Sr. Data and AI Engineer to work remotely. The Sr. Data and AI Engineer will be a key member of our high performing team. They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievable objectives and driving the completion of those objectives. As an expert in delivering technical projects, the Engineer will identify challenges and improvements to process, organizational practices, technical innovation, and culture; then lead cross functional team members to solution and deliver improvements. They will also apply their technical expertise across multiple disciplines to share the best approaches and solutions with our customers to improve complex strategic solutions and meet enterprise needs. Strong candidates will show experiences identifying strategic improvement opportunities, creating interest and buy-in, and executing on vision. Salary Range: $180,000 - $200,000 Qualifications - Must be a US Citizen - Must be able to obtain a Public Trust Clearance - Bachelor's degree - 10+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures - 5+ years of Data experience in evaluating, architecting, and building AI and Generative AI tools - Serve as a central facilitator in helping the organization to understand their current drivers and challenges - Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs - Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization - Ability to work hands on with developers to deliver solutions and provide customer facing support and solutioning - Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions - Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions - Experience working in Agile environment leveraging advanced design and engineering best practices - Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management - Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools - Experience with Azure and AWS Cloud native data and AI technologies - Experience with Databricks, SnowFlake, Palantir, and other large data platforms Benefits - General Description of Benefits Company Description

Why you: As an AI / ML Engineer, you will be a contributor to the design, development, and implementation of Artificial Intelligence and Machine Learning solutions. Your primary focus will be on developing, implementing, and maintaining robust, scalable, and reliable AI/ML pipelines, with an emphasis on integrating and optimizing models, including Large Language Models (LLMs) and Generative AI technologies, into client and internal products. Your role requires a deep knowledge of ML engineering best practices and the AI ecosystem, coordinating with data scientists and software engineering teams. If this is you, and you wonder what it would be like to work at Pythian, reach out to us and find out! Intrigued to see what a life is like at Pythian? Check out #pythianlife on LinkedIn and follow @loveyourdata on Instagram! Not the right job for you? Check out what other great jobs Pythian has open around the world! Pythian Careers What you will be doing: - Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client-driven projects. - Deploy, manage, and scale AI models, including pre-trained models (e.g., LLMs) and custom ML models, into production environments. - Work with data scientists to implement model prototypes into scalable, production-ready AI systems. - Optimize and tune model performance, latency, and cost-efficiency on cloud platforms. - Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and utilize containerization technologies (Docker, Kubernetes) for consistent deployment. - Apply standard MLOps practices, including continuous integration/continuous delivery (CI/CD), model versioning, monitoring, and maintenance systems. - Coordinate with software engineering teams to ensure seamless integration of AI capabilities into applications and user workflows. - Stay up to date with advancements in AI/ML technologies, Generative AI, and MLOps deployment strategies. What we need from you: - Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field. - 2 to 5 years of progressive experience in machine learning engineering, software development with an ML/AI focus, or a related role. - Strong programming skills in Python and proficiency in ML/AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Hands-on experience in deploying and working with pre-trained models, such as Large Language Models (LLMs) or similar Generative AI technologies, into production environments. - Solid experience with cloud platforms (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes. - In-depth knowledge of Data Engineering principles, ETL/ELT processes, and version control systems (e.g., Git). - Experience in orchestrating Machine Learning pipelines using open-source tools like Kubeflow or managed cloud services. - Experience in building and optimizing scalable AI/ML systems. - Familiarity with MLOps best practices, including model monitoring, logging, and CI/CD pipelines for AI assets. - Strong communication and teamwork skills, with an ability to work effectively across cross-functional teams including solution architects and data scientists. What you will receive: - Love your career: Competitive total rewards package. Blog during work hours; take a day off and volunteer for your favorite charity. - Love your work/life balance: Flexibly work remotely from your home, there’s no daily travel requirement to an office! All you need is a stable internet connection. - Love your coworkers: Collaborate with some of the best and brightest in the industry! - Love your development: Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like! - Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment! - Love yourself: Pythian cares about the health and well-being of our team. You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more). Additionally, you will receive a generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity. Hiring Disclaimer - The successful applicant will need to fulfill the requirements necessary to obtain a background check. - Accommodations are available upon request for candidates taking part in any aspect of the selection process. - Pythian is looking to fill this position as soon as possible as this position is for an active and open position. AI Disclaimer Pythian may utilize Enterprise Generative Artificial Intelligence (AI) tools or features throughout its hiring process. These tools help us manage high volumes of applications efficiently and may be employed to review applications, analyze resumes, and assist with other recruitment steps. While Pythian uses AI in its hiring process, it does not substitute for human judgment. Our Talent Acquisition Team reviews all AI-generated recommendations, and the system is subject to regular bias audits to ensure fairness and compliance with all applicable employment and human rights laws. All final hiring decisions are made by, and remain the responsibility of, human decision-makers. By applying for this position, you consent to Pythian’s use of these AI tools in the evaluation of your application. You have the right to request a human review of any solely AI-driven decision or to request an accommodation. Should you require further details regarding the processing of your data, please reach out to us.

Who we are: MasterClass is the streaming platform where the world’s best come together so anyone, anywhere, can access and be inspired by their knowledge and stories. We put you in the room with the creators, thinkers, makers and leaders who have changed the world, so that you can change yours. Members get unprecedented access to 200+ instructors and classes across a wide variety of fields, including Arts & Entertainment, Business, Design & Style, Sports & Gaming, Writing and more. Step into Nas’ recording studio and Gordon Ramsay’s kitchen, and go behind the big screen with James Cameron. Design your career with Elaine Welteroth, get ready to win with Lewis Hamilton, perfect your pitch with Shonda Rhimes and discover your inner negotiator with Chris Voss. We’re a remote-first workforce with collaborative work spaces in San Francisco and Kitchener, Ontario, and employees in several U.S. states. If you’re interested in joining a dynamic, culture-driving company—where learning invaluable skills is all in a day’s work—we invite you to apply. Snapshot of the Role: MasterClass is building the next generation of learning products with AI at the core. Foundation models and agentic systems are central to how we design and deliver every new product, powering intelligent, adaptive experiences that help millions of people learn from the world's best. This is not a side initiative. It is the direction of the company. We are looking for a Staff ML Engineer to join our AI engineering team and help define and deliver these products. This role is ultimately about delivery. You will be expected to stay deeply connected to the latest research, models, and techniques, but the measure of success is shipping products that people use. You will work alongside a small, talented group of ML engineers and partner closely with product, design, and engineering leadership to shape what AI-powered learning looks like at MasterClass. What You Will Do: - Design and build agentic AI systems that power consumer learning products, including multi-step reasoning, tool use, and orchestration architectures. - Select and integrate foundation models (LLMs, multimodal) based on product requirements, making pragmatic trade-offs between quality, latency, cost, and safety. - Build evaluation and observability frameworks that ensure AI product quality at scale, including automated testing, human-in-the-loop review, and production monitoring. - Architect reliable, production-grade AI pipelines, including prompt management, context retrieval (RAG), caching, and fallback strategies. - Collaborate with Product, Design, and Engineering to translate ambiguous product goals into well-defined technical approaches and ship features end-to-end. - Stay deeply current with the foundation model landscape—new models, techniques, agentic frameworks, and research—and bring that knowledge to bear on product decisions. - Mentor and elevate the AI engineering team by sharing best practices, leading design reviews, and establishing reusable patterns for agentic product development. About You (Requirements): - 7+ years of software engineering experience, with 3+ years focused on building products with large language models or foundation models. - Demonstrated experience shipping consumer-facing AI products that use agentic patterns (tool use, multi-step reasoning, orchestration, planning). - Deep working knowledge of the current foundation model ecosystem: model providers (OpenAI, Anthropic, Google, open-source), prompt engineering, RAG architectures, evaluation frameworks, and orchestration tooling. - Strong software engineering fundamentals: system design, API design, production observability, and the ability to write clean, maintainable code in Python. - Track record of staying on the cutting edge—you can point to specific ways you’ve incorporated new research, models, or techniques into shipped products. - Excellent collaboration and communication skills; experience working cross-functionally with product, design, and engineering teams. Nice To Haves - Experience with model fine-tuning or distillation (SFT, DPO, RLHF). - Background in edtech, consumer media, or content platforms. - Published research or open-source contributions in AI/ML. - Experience with multi-agent system design or advanced orchestration frameworks. Nice-to-haves are not required; each represents a direction in which our infrastructure is evolving. At MasterClass, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. In addition, MasterClass will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you. The salary range listed is for candidates in Ontario, Canada. As a company, we have a location based strategy, which means the disclosed range estimate has been adjusted for geographic differential associated with the location where the position may be filled. MasterClass’s salary ranges are based on paying competitively for our size and industry. In addition to salary, we also offer equity and comprehensive benefits (medical, dental, vision, flexible PTO, and more). The range listed is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate. Ontario, CAN Salary Range $171,000—$225,000 CAD

Sr Lead Software Engineer, Full Stack AI MCP - Shopping (Remote-Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One Shopping, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking a Senior Lead Software Engineer who is passionate about marrying data with emerging technologies. As a full stack engineer focusing on AI, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One Shopping. What You'll Do: - Be a hands-on leader driving the development of next-generation AI solutions for the future of shopping. - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community. - Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment - Utilize programming languages like JavaScript, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: - Bachelor's Degree - At least 6 years of experience in software engineering (Internship experience does not apply) - At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: - Expert-level proficiency in MCP, AI Tooling, and/or LLMs - Startup experience with a history of shipping products at high speed. - 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go - 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service - 4+ years of experience in open source frameworks Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $209,000 - $238,500 for Sr. Lead Software Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Software 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).