Engineer 2 - Machine Learning

Comcast Advertising; Chennai District; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Comcast Advertising is seeking a highly motivated Machine Learning Engineer to design, develop, and deploy ML models across diverse business use cases. The role involves hands-on work with classical ML, deep learning, and Generative AI technologies, with a focus on solving real-world problems using data-driven solutions.

The ideal candidate will have strong Python skills, a solid understanding of ML fundamentals, and a passion for building scalable ML systems in production environments.

Qualifications

• 2-5 years of relevant work experience in ML engineering.
• Bachelor's degree in a technical field preferred.
• Strong Python programming skills and understanding of ML fundamentals.

Responsibilities

• Build, train, evaluate, and optimize ML models for various tasks.
• Apply classical ML algorithms like Logistic Regression, Decision Trees, Random Forests, SVMs, and Gradient Boosting.
• Engineer features from raw data and use feature engineering to improve model performance.
• Develop end-to-end ML pipelines for training, validation, and inference.

Skills

Python

ML fundamentals

GenAI

Deep Learning

Education

Bachelor's Degree

Tools

PyTorch

TensorFlow

Job description

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, solid understanding of ML fundamentals, and a passion for solving real‑world problems through data‑driven solutions.

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.
• Identify 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.

Benefits

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.

Relevant Work Experience

2-5 Years

Equal Opportunity

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.

About Comcast

At Comcast , you have the power to connect the world. Your career options are endless as you grow in your career. Explore your future with access to a variety of teams, locations, and resources in an expanding network. You can also explore additional opportunities at our company, NBCUniversal.