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Job Summary

Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge.

Job Description

Job Title: Development Engineer 2 (Python with Machine Learning)

Location: Chennai

Duration: Full Time.

Experiences: 3 years to 4.5 years

Mandatory skills:

Python, ML frameworks (scikit-learn, Py Torch, Tensor Flow).

Deeper understanding of GenAI/LLMs concepts

Prompt engineering

Optional skills:

LLM evaluation techniques

Testing frameworks (pytest, unittest)

RAG/ML pipelines and CI/CD

Technical Requirements

• Strong proficiency in Python.
• Hands-on experience with ML frameworks (scikit-learn, Py Torch, Tensor Flow).
• Experience building or extending testing frameworks (pytest, unittest).
• Solid skills in Pandas, Num Py, and data analysis.
• Experience or exposure to LLMs and GenAI concepts:Prompt engineering
• LLM evaluation techniques
• RAG pipelines (basic understanding)
• Familiarity with ML pipelines, model deployment workflows, and CI/CD.
• Exposure to model monitoring, drift detection, and performance metrics is a plus.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3–4 years of hands-on experience in ML engineering, ML testing, or applied ML roles.
• Strong understanding of ML fundamentals, debugging, and evaluation methodologies.
• Curious mindset with interest in GenAI and LLM-driven automation.

Detail-oriented, analytical, and comfortable working with complex syst

Core Responsibilities

• Contributes to the implementation, refinement and validation of machine learning algorithms for products and applications.
• Trains machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production.
• Contributes to designs and development of data pipelines consisting of data ingest, data validation, data cleaning and data monitoring.
• Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property.
• Contributes to the testing and evaluation of solutions presented to the Company by various internal and external partners and vendors. Contributes to case studies, testing and reporting.
• Designs proof of concept solutions and contributes to studies to support future product or application development.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
• Other duties and responsibilities as assigned.

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.

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

2-5 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.