Lead Machine Learning / MLOps Engineer

We are seeking an experienced and driven Machine Learning / MLOps Engineer to join our engineering team. In this role, you will bridge the gap between machine learning research and production systems. You will be responsible for developing, fine-tuning, deploying, and scaling state-of-the-art machine learning and foundation models in production. If you are passionate about building robust MLOps infrastructure, optimizing multi-GPU workloads, and collaborating with cross-functional teams to deliver high-impact AI solutions, we want to hear from you.Req# 1122672674ResponsibilitiesModel Development & Production: Develop, fine-tune, and deploy machine learning and foundation models into robust production environmentsMLOps & Pipeline Engineering: Build, scale, and operate end-to-end MLOps pipelines, including CI/CD for ML, model lifecycle management, monitoring, and observabilityCloud & Infrastructure Management: Deploy and manage ML workloads on Azure and Kubernetes (AKS), ensuring high availability, scalability, and securityPerformance Optimization: Manage multi-GPU-based workloads and optimize model performance, latency, and resource utilizationSoftware Engineering Excellence: Uphold rigorous software engineering standards, including automated testing, high code quality, CI/CD pipelines, and infrastructure as codeCross-Functional Collaboration: Partner closely with ML researchers, data scientists, and engineering teams to translate research breakthroughs into production-ready systemsRequirementsProduction ML Experience: Hands-on experience developing, fine-tuning, and deploying ML and foundation models in production environmentsProgramming & Frameworks: Strong Python programming skills with deep expertise in PyTorch and/or TensorFlowMLOps Expertise: Proven experience building and operating MLOps pipelines (CI/CD, model tracking, registry, monitoring)Cloud & Containerization: Experience deploying ML workloads on Azure and Kubernetes (AKS)Software Engineering: Strong background in software engineering best practices (unit/integration testing, version control, code quality, automation)Hardware & Performance: Experience managing multi-GPU-based workloads and optimizing inference/training performanceCommunication & Teamwork: Ability to work effectively and collaboratively with ML researchers, data scientists, and cross-functional engineering teamsWe offerMedical, Dental and Vision Insurance (Subsidized)Health Savings AccountFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)Short-Term and Long-Term Disability (Company Provided)Life and AD&D Insurance (Company Provided)Employee Assistance ProgramUnlimited access to LinkedIn learning solutionsMatched 401(k) Retirement Savings PlanPaid Time OffLegal Plan and Identity Theft ProtectionAccident InsuranceEmployee DiscountsPet InsuranceEmployee Stock Purchase ProgramEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAMThis posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $140,000 - $170,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.Applications will be accepted on a rolling basis.In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)Applicants and Employees in Unincorporated Los Angeles County: The Los Angeles Fair Chance Ordinance (LAFCO) requires employers conducting criminal history checks for applicants or employees to state the job duties for which certain criminal history may have a direct, adverse and negative relationship. For this position, these job duties include: engaging with clients, employees, and other third-parties (including the general public); accessing company and client information, IT systems and infrastructure, assets, property, and products, including proprietary coding, programs, applications, and data; and appropriately handling such information, including company and client confidential and personal information. For this reason, certain criminal history may result in the withdrawal of a condition offer of employment. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the LAFCO and the California Fair Chance Act.EPAM welcomes all applicants and will consider qualified candidates with criminal history such as arrest and conviction records in a manner consistent applicable law, including the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring.EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.