Engineer I, Artificial Intelligence

Work Schedule

Standard Office Hours (40/wk)

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.