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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 pipelines.
Use PySpark and SQL for large‑scale data processing and performance optimization.
Use GitHub effectively, for repository management, code reviews, and issue tracking.
Understand existing projects, pipelines, and end goals and enhance current packages & frameworks as required.
Troubleshoot and resolve issues across data pipelines, model execution, and production workflows and ensure reliability and performance.
Monitor model performance & data drift; recommend retraining or feature updates as needed.
Communicate technical concepts, trade‑offs, and results clearly to both technical and non‑technical stakeholders.
Mentor and review work of junior data scientists and ML engineers, providing guidance on modelling approaches and code quality.
Contribute to defining ML standards, best practices, and governance within the team.
Disclaimer:
- This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.
Please visit the benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Certifications (if applicable)
Relevant Work Experience
5-7 Years
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.