Responsibilities
Design, build, deploy, and operate machine learning features and services end-to-end.
Own ML pipelines and model behavior from experimentation through production monitoring.
Solve complex ML and system-level problems independently.
Participate in technical design discussions and influence implementation decisions.
Improve performance, reliability, scalability, and cost efficiency of ML systems.
Collaborate with cross-functional partners to translate product requirements into ML solutions.
Design, build, and own LLM-based features, including prompt strategies, evaluation pipelines, chatbots, or agent workflows.
Select and apply LLM frameworks (e.g., LangChain, LlamaIndex) and agent frameworks (e.g., OpenAI SDK, ADK, Autogen) based on use-case requirements and tradeoffs.
Qualifications
Strong foundations in data structures, algorithms, and statistics. • Experience building, deploying, and operating production ML systems.
Proficiency in at least one ML or deep learning framework.
Ability to translate ambiguous requirements into concrete technical solutions. • Strong communication and collaboration skills.
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.
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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.