Engineer I, Software

This job is with Thermo Fisher Scientific, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Work Schedule Standard (Mon-Fri)

Environmental Conditions Office Job Description

About 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. We are seeking a talented and motivated developer to join our team and utilize Generative AI capabilities in software development. As a Generative AI Developer, you will be responsible for designing, implementing, and maintaining software solutions that leverage innovative Generative AI algorithms and techniques to solve sophisticated problems. Responsibilities: Perform

data analysis, exploration, and preparation

to support business use cases. Design and develop

data pipelines

in Python/Databricks and work with cloud data platforms. Apply

Generative AI techniques

to build prototypes, create insights, and enhance solutions. Collaborate with cross-functional teams to understand requirements and translate them into data-driven/AI-driven outcomes. Conduct

unit testing, validation, and data quality checks

for datasets, pipelines, and AI outputs. Design 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 best practices

for sustainable data and AI solutions.

Requirements: Strong proficiency in

Python , with focus on both data engineering (pandas, PySpark, Databricks) and AI (transformers, LLM frameworks). Good understanding of

SQL

and ability to work with 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

prompt engineering, fine-tuning, embeddings, and LLM evaluation . Familiarity with

BI/visualization tools

(Power BI, Tableau, or similar). Understanding of

modern practices

like DataOps, MLOps, and AI/GenAI Ops. Strong analytical and problem-solving skills with ability to handle ambiguity. Excellent written, verbal, and interpersonal communication skills. Ability to work effectively with

global teams

across multiple regions and time zones. Curiosity to learn and apply

emerging data engineering and Generative AI technologies .

Apply today! http://jobs.thermofisher.com Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

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