Senior MLOps Engineer

We are seeking an experienced Senior MLOps Engineer to join our team and help operationalize and manage machine learning models. You will play a critical role in optimizing deployment processes, scaling infrastructure, and ensuring the reliability of machine learning solutions in production environments.

Responsibilities

• Develop and maintain automation tools for continuous integration and deployment (CI/CD) of machine learning models
• Ensure robust monitoring, logging, and alerting systems for models in production to quickly identify and address any issues
• Collaborate closely with data scientists and data engineers to enhance model architectures and performance
• Manage the infrastructure and resources required for deploying models in production, including servers, data storage, and computational resources
• Implement version control and change management processes for machine learning models
• Proactively identify, diagnose, and resolve performance bottlenecks and anomalies in deployed models
• Enforce data security best practices and ensure compliance with regulatory requirements
• Stay updated on the latest advancements in machine learning technologies, tools, and industry standards

Requirements

• A degree in Computer Science, Engineering, Statistics, or a related field
• 3+ years of experience with MLOps workflows and practices
• Experience with tools such as Docker, Kubernetes, Jenkins, or similar for managing containerized applications and automating workflows
• Proficiency in programming languages widely used in machine learning, such as Python and R
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) as well as experience in model management
• Experience with cloud platforms (AWS, Azure, Google Cloud) and understanding of scalable architectures
• Strong experience with monitoring tools and best practices, including setting up automated alerts, dashboards, and logging pipelines for production ML systems
• Familiarity with observability stacks like Prometheus, Grafana, or similar solutions
• Excellent problem-solving skills and ability to collaborate effectively within a multi-disciplinary team
• Strong communication skills, with the ability to articulate complex technical details to non-technical stakeholders
• English level of minimum B2 (Upper-Intermediate) for effective communication

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee, and snacks
  • Well-being events
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft's Software Assurance Home Use Program (HUP)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, 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.