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

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>