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ML Engineer Lead (full time)

ML Engineer Lead (full time)

Hyrfastdehradun, India
6 days ago
Job description

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

  • 5+ years of experience in Python and PySpark development for feature / data pipelines.
  • Proven track record in AI / ML system development and MLOps implementation at scale.
  • Strong understanding of statistical modeling (e.g., multinomial logistic regression) and data science methodologies .
  • Hands-on experience with AWS cloud services (SageMaker, Bedrock, Kendra, etc.).
  • Deep knowledge of ML lifecycle : data collection, preparation, feature engineering, model management, deployment, and monitoring.
  • Proficiency in statistics (probability distributions, hypothesis testing) and model evaluation metrics .
  • Exposure to time series modeling , forecasting , NLP , and image / video analytics .
  • ✅ Bonus / Good to Have

  • Experience with Large Language Models (LLMs) and Generative AI .
  • Familiarity with LangChain, LLAMAIndex , and foundation model tuning .
  • Knowledge of Docker and Kubernetes for scalable ML deployments.
  • Experience with data augmentation , performance evaluation frameworks , and AI pipeline optimization .
  • Why Join Us?

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

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    Ml Engineer • dehradun, India

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