ML Engineer Lead

Machine Learning Engineer Lead

Hiring Machine Learning Engineer Lead for our client, which is a global digital engineering company specializing in data engineering, cloud solutions, and enterprise AI services.

Python | PySpark | AWS | MLOps

Location : Noida / Gurgaon / Indore / Bangalore / Pune

Experience : 8-10 years | Full-time

About the Role

Are you passionate about building scalable AI / ML systems that make real-world impact?

We're looking for a Senior Machine Learning Engineer with strong expertise in Python, PySpark, and AWS to design and deploy data-driven solutions that power intelligent decision-making across our organization.

You'll work at the intersection of data engineering, data science, and MLOps — collaborating with cross-functional teams to build, deploy, and optimize production-grade machine learning systems at scale.

What You'll Do

• Design, develop, and maintain feature and data pipelines using PySpark and AWS tools.
• Collaborate with data scientists, engineers, and product teams to build scalable ML solutions from concept to deployment.
• Leverage AWS services such as SageMaker, Bedrock, and Kendra for advanced AI model development and deployment.
• Apply expertise in data science, statistics, and machine learning to create predictive and analytical models.
• Implement MLOps practices — including model management, deployment, monitoring, and continuous improvement.
• Conduct exploratory data analysis (EDA) and derive actionable insights for business outcomes.
• Work on diverse ML domains including Time Series Forecasting, NLP, Image / Video Analytics, and Generative AI.
• Drive innovation and knowledge sharing within the team, fostering a culture of continuous learning and experimentation.

What We're Looking For

Core Skills & Experience

Bonus / Good to Have

Why Join Us?

Work on cutting-edge AI and Generative AI projects impacting real business outcomes.

Collaborate with top-tier engineers, data scientists, and innovators.

Grow your technical and leadership skills in a fast-paced, data-driven environment.

Be part of a culture that values curiosity, creativity, and continuous learning.