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Lead Machine Learning Operations Engineer

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

We are seeking an experienced Lead 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 9 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