Intern, AIA

The AI Acceleration (AIA) team is a central product and engineering function responsible for designing building and scaling AIpowered capabilities across Pfizers Commercial Marketing and Field organisations. AIA focuses on turning advanced analytics and Generative AI into practical scalable and secure products that measurably improve how teams plan decide and execute in the real world.
AIA operates using a productcentric pod model bringing together data scientists AI engineers product owners UX and platform engineers into small outcomedriven teams aligned to specific products and use cases. Each pod owns endtoend deliveryfrom discovery and design through production operations and continuous improvementensuring clear accountability and faster execution.
We are looking for an AI/ML Intern to support the development of AI-powered applications with a focus on LLM-based workflows observability evaluation and reliable API integrations. This is a time-bound internship (not a full-time role) designed to provide hands-on experience building production-grade AI systems under the guidance of senior engineers and data scientists.
Internship details:

Duration: 36 months Commitment: Full-time (40 hrs/week) Location: Mumbai
This role is dynamic fast-paced highly collaborative and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide who are constantly supporting business transformation through their proactive thought leadership innovative analytical capabilities and their ability to communicate highly complex and dynamic information in new and creative ways.
ROLES & RESPONSIBILITIES
Build and maintain small Python modules that support AI/ML and LLM workflows (data prep prompt utilities wrappers evaluators).
Assist with instrumenting services for observability and tracing (e.g. Langfuse/OpenTelemetry) to enable end-to-end debugging and monitoring.
Support LLM evaluation tasks such as dataset creation test case design and basic quality metrics (accuracy completeness groundedness).
Implement and test REST API integrations (JSON/HTTP) with guidancehandling retries timeouts error codes and logging.
Participate in debugging and performance analysis using traces logs and metadata; document findings and proposed fixes.
Work in agile sprints with a mentor; provide regular progress updates and ask for feedback early and often.
Write clear documentation (setup runbooks README) and contribute to code reviews as a learner.
QUALIFICATION & EXPERIENCE
Currently pursuing a B.E./ in Computer Science IT ECE Data Science or a related field.
Academic projects internships or personal projects demonstrating practical Python/ML/AI skills are preferred.

Relevant Experience:
Strong Python fundamentals (syntax functions modules virtual environments).
Good grasp of data structures and basic object-oriented programming.
Comfort with Git basics (branching commits pull requests) and collaborative coding.
Familiarity with REST APIs JSON and HTTP concepts; ability to test APIs using tools or simple scripts.
Understanding of ML basics (training vs. inference evaluation metrics) through coursework or projects.
Intro-level awareness of NLP/LLM concepts (prompts tokens latency/cost trade-offs) is a plus.
Good to Have:
Exposure to LLM tools or frameworks (LangChain LangGraph OpenAI APIs etc.).
Familiarity with observability or tracing tools (Langfuse OpenTelemetry logging frameworks).
Basic SQL knowledge and understanding of data retrieval concepts.
Experience using Postman or curl for API testing.
Docker or cloud fundamentals (AWS/Azure/GCP).
Professional Characteristics:
Adaptability and Flexibility: Interns should be able to adjust and thrive in changing environments embracing new tasks and applying knowledge in diverse contexts.
Strong Communication: Effective communication skills are essential for workplace interactions including conveying ideas clearly and listening actively.
Positivity: A positive attitude shows a willingness to work hard and learn contributing to a harmonious work environment.
Self-Starter: Takes an active role in ones own professional development; stays abreast of analytical trends and cutting-edge applications of data.

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

To learn more about acceptable and prohibited uses of AI during the recruitment process please review our candidate AI-use guidelines available onPfizer Careers.