Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
Job Location: Bangalore, India
About Company:
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $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 sophisticated analytical challenges, improving patient diagnostics and therapies or growing efficiency in their laboratories, we are here to support them. Our distributed team of more than 100,000 colleagues delivers an outstanding 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.
What will you do?
We are seeking a hands on AI & Data Engineer to design, build, and deploy scalable AI driven and data intensive solutions supporting commercial, customer, and supply chain initiatives. This role will focus on Generative AI enabled applications, modern data engineering, and enterprise workflow automation.
You will work closely with product owners, business stakeholders, and architects to convert business use cases into production ready AI and data solutions.
Key Responsibilities
Develop and deploy GenAI powered applications, including RAG based solutions and agentic workflows.
Build and maintain Python based microservices and APIs (FastAPI preferred).
Design and implement scalable data pipelines using SQL and PySpark on cloud platforms.
Develop and optimize data models for analytics and AI use cases.
Implement data quality checks, validation frameworks, and monitoring mechanisms.
Contribute to CI/CD pipelines, DevOps best practices, and release management.
Collaborate with cross-functional teams to ensure alignment between business needs and technical solutions.
Support production systems, performance tuning, and continuous improvements.
Required Qualifications:
7+ years of experience in data engineering, backend development, AI solution delivery.
Strong programming expertise in Python.
Hands-on experience with SQL and Spark/PySpark.
Experience working on AWS or Azure cloud platforms.
Exposure to building or integrating LLM/RAG based solutions.
Experience with Git based workflows, CI/CD, and unit testing.
Strong problem solving and analytical skills.
Good to have skills
Experience with containerization (Docker/Kubernetes).
Familiarity with Databricks, Snowflake or Delta Lake.
Exposure to Salesforce, ERP, supply chain systems integration.
Experience with RPA tools such as UiPath for automating enterprise workflows.
Understanding of integrating AI services with automation platforms.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 1,20,000 colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.