Go to search
Lead Engineer - Machine Learning Operations
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.
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 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.
Benefits
Benefits
- 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
Community
- Flexible and hybrid work opportunities
- Soft loans to set up workspace at home
- Relocation and mobility programs
Professional development
- Access to soft skills training in general communication, presenting and public speaking, diversity, equity and inclusion (DEI), cultural Intelligence, self-productivity, well-being and more.
- Unlimited access to the LinkedIn Learning Library, including 22,000+ courses
- Access to internal learning platforms, EPAM University and a wide range of professional communities and competency centers
- Community networking and idea creation platforms
- Mentorship programs
- Self-driven career progression tool
- Upskilling, reskilling and certification courses <wbr>