Lead Machine Learning Operations Engineer
Published date: 2024/01/10
- Location: Pune, Maharashtra, India
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.
We offer
• 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
• Hybrid Work Model
• Soft loans to set up workspace at home
• Stable workload
• Relocation opportunities with ‘EPAM without Borders’ program
• 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
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.
We offer
• 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
• Hybrid Work Model
• Soft loans to set up workspace at home
• Stable workload
• Relocation opportunities with ‘EPAM without Borders’ program
• 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
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