Data Engineer AI

Reposted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
Biotech
Our Mission is to enable our customers to make the world healthier, cleaner and safer.
The Role
The Data Engineer AI will develop data pipelines, apply Generative AI techniques, conduct data analysis, and collaborate across teams to support AI-driven results.
Summary Generated by Built In

Work Schedule

Other

Environmental Conditions

Office

Job Description

About Company:

We help our customers accelerate life sciences research, tackle sophisticated analytical challenges, improve patient diagnostics, deliver medicines to market, and increase laboratory efficiency.

Team Description: We are the Automation, AI, and Data (AAD) team specializing in delivering data engineering and analytics, automation, and AI solutions to diverse groups and divisions across Thermo Fisher Scientific.

Responsibilities:
  • Perform data analysis, exploration, and preparation to support business use cases.
  • Build and develop data pipelines in Python/Databricks and collaborate with cloud data platforms.
  • Apply Generative AI techniques to compose prototypes, develop insights, and improve solutions.
  • Work with diverse teams to grasp requirements and convert them into data-driven/AI-driven results.
  • Conduct unit testing, validation, and data quality checks for datasets, pipelines, and AI outputs.
  • Build and develop RESTful APIs to enable communication between different software components.
  • Follow agile and DevOps practices for continuous development, testing, and deployment.
  • Contribute to data governance, documentation, and guidelines for balanced data and AI solutions.
Requirements:
  • Strong proficiency in Python with 6+ years of experience, with a focus on both data engineering (pandas, PySpark, Databricks) and AI (transformers, LLM frameworks).
  • Proficient knowledge of SQL and capability to handle relational and non-relational data.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and data lake/warehouse concepts.
  • Exposure to Generative AI tools and frameworks (e.g., LangGraph, LangChain, OpenAI APIs).
  • Awareness of timely engineering, fine-tuning, embeddings, and LLM evaluation.
  • Familiarity with BI/visualization tools (Power BI, Tableau, or similar).
  • Understanding of modern practices like DataOps, MLOps or equivalent experience, and AI/GenAI Ops.
  • Strong analytical and problem-solving skills with the ability to handle ambiguity.
  • Excellent written, verbal, and interpersonal communication skills.
  • Skill in collaborating efficiently with international teams spanning various regions and time zones.
  • Curiosity to explore and implement evolving data engineering and Generative AI technologies.

Top Skills

AWS
Azure
Databricks
Dataops
GCP
Generative Ai
Langchain
Langgraph
Mlops
Openai Apis
Pandas
Power BI
Pyspark
Python
SQL
Tableau
Transformers
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The Company
HQ: Waltham, MA
100,000 Employees

What We Do

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

Why Work With Us

You will join a company which every colleague has the opportunity to create possibilities, for oneself, for our customers and patients. There is no more exciting place to be than at the forefront of solving problems which help improve lives around the world. As a company, we are committed to supporting your career aspirations and your journey.

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