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Comcast Advertising Logo Comcast Advertising · IT - Software Development

Engineer 3 - Machine Learning

India, Chennai Employment contract · Job Posted June 02, 2026
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Job Description

We are looking for a highly motivated, experienced Machine Learning Engineer to join our team. You will design, develop, and deploy machine learning models across diverse business use cases. This role provides hands‑on exposure to classical ML, deep learning, and emerging Generative AI technologies. The ideal candidate has strong Python skills, a solid understanding of ML fundamentals, and a passion for solving real‑world problems through data‑driven solutions.

Job Responsibility

  • Own the end to end lifecycle of machine learning solutions
  • Design, build, and optimize advanced ML models for classification and regression problems
  • Develop and maintain time series and forecasting models to analyze temporal patterns
  • Lead feature engineering strategy
  • Perform exploratory data analysis (EDA) and translate insights business recommendations
  • Build scalable, reusable ML pipelines for training, validation, inference, and monitoring
  • Work with Databricks or similar IDEs
  • Use PySpark and SQL for large-scale data processing
  • Use GitHub effectively
  • Understand existing projects, pipelines, and end goals
  • Troubleshoot and resolve issues across data pipelines, model execution, and production workflows
  • Monitor model performance & data drift
  • Communicate technical concepts, trade-offs, and results clearly
  • Mentor and review work of junior data scientists and ML engineers
  • Contribute to defining ML standards, best practices, and governance within the team

Requirements

  • Bachelor's Degree
  • 5-7 Years relevant work experience
  • Experience with the end to end lifecycle of machine learning solutions
  • Experience designing, building, and optimizing advanced ML models for classification and regression problems
  • Experience developing and maintaining time series and forecasting models
  • Experience leading feature engineering strategy
  • Experience performing exploratory data analysis (EDA)
  • Experience building scalable, reusable ML pipelines
  • Experience with Databricks or similar IDEs
  • Experience using PySpark and SQL for large-scale data processing
  • Experience using GitHub for repository management, code reviews, and issue tracking
  • Experience troubleshooting issues across data pipelines, model execution, and production workflows
  • Experience monitoring model performance & data drift
  • Experience communicating technical concepts to both technical and non-technical stakeholders
  • Experience mentoring junior data scientists and ML engineers
  • Experience contributing to defining ML standards, best practices, and governance within the team

What we offer

  • Paid Time off
  • Physical Wellbeing
  • Financial Wellbeing
  • Emotional Wellbeing
  • Life Events + Family Support
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