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Senior Engineer - Machine Learning Operations

Machine Learning Engineering, MLOps
Hyderabad, Bangalore, Pune, Chennai, Gurgaon

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.

  • 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
                • 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.


                          For you
                          • Insurance Coverage 
                          • Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves. 
                          • Financial assistance for medical crisis 
                          • Retiral Benefits – VPF and NPS 
                          • Customized Mindfulness and Wellness programs 
                          • EPAM Hobby Clubs
                          For your comfortable work
                          • Hybrid Work Model 
                          • Soft loans to set up workspace at home 
                          • Stable workload 
                          • Relocation opportunities with ‘EPAM without Borders’ program

                          For your growth
                          • Certification trainings for technical and soft skills 
                          • Access to unlimited LinkedIn Learning platform 
                          • Access to internal learning programs set up by world class trainers 
                          • Community networking and idea creation platforms 
                          • Mentorship programs 
                          • Self-driven career progression tool