Comcast

Media and Technology

Engineer3-MachineLearning

Chennai, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Engineer 3 - Machine Learning at Comcast. Skills: Machine Learning, Python, ML models, Data processing. Own ML lifecycle. Design ML models”

Industry & Context.

Media and Technology
Problems you'll solve

Solving real-world problems; Troubleshoot and resolve issues

What They're Looking For.

Must Have

Python skills, ML fundamentals, 5-7 Years Relevant Work Experience, Bachelor's Degree

Nice to Have

Deep learning, Generative AI technologies, Cloud platform certs

What You'll Do.

Develop time series models

Maintain time series models

Lead feature engineering

Monitor model performance

Communicate technical concepts

Mentor junior engineers

Contribute to ML standards

How You'll Work.

Team & Collaboration

Work with product team; Communicate results to stakeholders; Mentor junior data scientists; Mentor junior ML engineers

Communication Scope

Communicate technical concepts; Communicate trade-offs; Communicate results clearly

Full Job Description

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. **Job Summary** 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 Description** **Core Responsibilities** * Own the end to end lifecycle of machine learning solutions, from problem formulation and data exploration to model deployment and monitoring. * Design, build, and optimize advanced ML models for classification and regression problems. * Develop and maintain time series and forecasting models to analyze temporal patterns and predict future business outcomes. * Lead feature engineering strategy, including feature selection, transformations, and handling data quality and drift. * Perform exploratory data analysis (EDA) and translate insights business recommendations. * Build scalable, reusable ML pipelines for training, validation, inference, and monitoring using industry best practices. * Work with Databricks or similar IDEs to develop efficient, production‑ready pip

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