Engineer 2 - Machine Learning
Comcast
Engineer 2 - Machine Learning at Comcast is a full time role based in Comcast India Engineering Cent, India. It was published on 3 August 2026 and was open at last check.
| Role | Engineer 2 - Machine Learning |
|---|---|
| Company | Comcast |
| Location | Comcast India Engineering Cent, India |
| Employment type | Full Time |
| Published | 3 August 2026 |
| Status | Open at last check |
Job Summary
Job Description
Core Responsibilities
Build, train, evaluate, and optimize ML models for classification, regression, clustering, and other tasks.
Apply classical ML algorithms such as Logistic Regression, Decision Trees, Random Forests, SVMs, and Gradient Boosting to solve business problems .
Engineer meaningful, high ‑ impact features from raw data using domain understanding, transformations, and derived metrics to significantly improve model performance.
I dentify and select the most relevant and meaningful features using statistical and model based techniques, and leverage model interpretability tools like SHAP to understand feature contributions, reduce redundancy, and improve overall model performance.
Perform data preprocessing, including handling missing values, outlier treatment, normalization, and encoding categorical variables.
Conduct exploratory data analysis (EDA) to understand data patterns and insights.
Implement and fine ‑ tune deep learning models using frameworks like PyTorch or TensorFlow.
Run experiments, compare model performance, and communicate results with clear reasoning.
Work on GenAI use cases, such as embeddings, summarization, and LLM ‑ based solutions.
Experiment with modern architectures (Transformers, BERT, GPT ‑ style models).
Write clean, modular, and well ‑ documented Python code.
Develop end ‑ to ‑ end ML pipelines for training, validation, and inference.
Collaborate with engineers to deploy models into production environments.
Stay updated with latest ML/DL/GenAI research and apply relevant techniques .
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
Certifications (if applicable)
Relevant Work Experience
Create your free OnJob profile to apply — we'll take you to Comcast's application after sign-up. · Posted 3 Aug 2026.
Engineer 2 - Machine Learning at Comcast — questions answered
What does the Engineer 2 - Machine Learning role at Comcast pay?
Comcast does not publish a salary on this Engineer 2 - Machine Learning listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Engineer 2 - Machine Learning role at Comcast based?
Comcast lists this Engineer 2 - Machine Learning role in Comcast India Engineering Cent, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Comcast before you apply.
Is the Engineer 2 - Machine Learning role at Comcast still open?
The Engineer 2 - Machine Learning posting at Comcast was open at OnJob's last check of the employer's careers page, having been published on 3 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Engineer 2 - Machine Learning role at Comcast?
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