Lead MLOps Engineer - Hyderabad, India - Epam

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 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.#LI-DNI

#REF-IN-WOMENResponsibilities

Strategise, plan and deliver MLOps initiatives by liasing with key business stakeholdersDesign, 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 requirementsCreate infra and architecture diagramsAbility to project manage, allocate activties to junior ML engineers and take it to closureImprovise coding practices, support code reviews and bring in best practices for model managementProvide thought leadership in terms of new technologies and tools, suggest improvementsAble 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 solutionsProven project management skills, with the ability to lead and coordinate activities within a teamExcellent communication and collaboration skillsExperience with ML engineering, model management, and supporting code reviewsDemonstrated ability to provide thought leadership and drive innovation in MLOps processes

We offer

Opportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package: Health benefits Retirement benefits Paid time off Flexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)