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 cutting-edge 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

This job entails implementing machine learning algorithms for products, model training, and deployment management. It involves data pipeline design, technical documentation, and innovation with patents and APIs. The role evaluates ML solutions, conducts case studies, and designs proof of concept strategies. It also includes research contribution for future development.

Job Description





Responsibilities:
- Implementing, refining, and validating machine learning algorithms tailored for company products and applications
- Training machine learning models, validating their accuracy, and manage the deployment of these models into production environments
- Designing and developing data pipelines, ensuring proper data ingestion, validation, cleaning, and monitoring
- Researching and authoring documentation and technical requirements, including white papers, test results, and formal recommendations
- Innovating by contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property
- Testing and evaluating machine learning solutions from internal and external sources, providing detailed assessments
- Conducting case studies and compile reports to inform testing strategies and results
- Designing proof of concept solutions, contribu

📌 Engineer 2 - Machine Learning (Chennai)
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