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Senior MLOps Engineer Hyderabad, India

Senior MLOps Engineer Description

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.

We are seeking an experienced Senior MLOps Engineer, expertise in machine learning operations. The ideal candidate will play a key role in strategizing, planning, and implementing MLOps initiatives, working closely with business stakeholders and leading a team of junior and senior ML engineers. The candidate should have a strong background in designing, developing, and deploying complex AI/ML solutions on cloud infrastructure.

#LI-DNI#REF-IN-WOMEN

Responsibilities

  • Strategise, plan and deliver MLOps initiatives by liasing with key business stakeholders
  • Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements
  • Create infra and architecture diagrams
  • Ability to project manage, allocate activties to junior ML engineers and take it to closure
  • Improvise coding practices, support code reviews and bring in best practices for model management
  • Provide thought leadership in terms of new technologies and tools, suggest improvements
  • Able to support in the interview process to hire junior and senior ML engineers

Requirements

  • Minimum of 6 years of hands-on experience in MLOps with a focus on deploying AI/ML solutions
  • Proven project management skills, with the ability to lead and coordinate activities within a team
  • Excellent communication and collaboration skills
  • Experience with ML engineering, model management, and supporting code reviews
  • Demonstrated ability to provide thought leadership and drive innovation in MLOps processes

We offer

  • Opportunity to work on technical challenges that may impact across geographies
  • Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
  • Opportunity to share your ideas on international platforms
  • Sponsored Tech Talks & Hackathons
  • Unlimited access to LinkedIn learning solutions
  • Possibility to relocate to any EPAM office for short and long-term projects
  • Focused individual development
  • Benefit package:
    • Health benefits
    • Retirement benefits
    • Paid time off
    • Flexible benefits
  • Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

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