Jobs via Dice · 7 hours ago
Data Scientist, Ai Infrastructure and Agent (onsite)
New York, United States
Full-time
Onsite
Entry, Mid Level
$88K/yr - $116K/yr
2+ years expThermo Fisher Scientific Inc. is the world leader in serving science, with a mission to enable customers to make the world healthier, cleaner, and safer. They are seeking a highly motivated Data Scientist with expertise in AI/ML & LLM technologies to design and maintain applications that support scientific workflows and collaborate with cross-functional teams.
Computer Software
Responsibilities
Design, develop, and maintain backend services and AI-enabled applications that support scientific and bioprocessing workflows
Develop and optimize retrieval components (e.g., embeddings, document indexing, vector search) used in RAG-based applications
Support integration and access to scientific and operational databases through well-defined APIs and backend services
Package internal tools, data pipelines, and workflows as reusable AI-enabled components or agents that can be executed within orchestration or workflow frameworks
Collaborate closely with scientists, data engineers, and platform teams to gather requirements, define technical specifications, and deliver reliable, production-ready solutions
Create clear technical documentation and usage guides to support internal adoption and long-term maintainability
Build and evolve scalable LLM inference, agent execution, or orchestration services (e.g., MCP-style patterns) in production environments
Participate in experimentation, evaluation, and optimization of AI/ML or LLM-based approaches
Implement tooling and automation for monitoring, testing, and operational support of backend services
Stay current with emerging AI/ML and LLM technologies and contribute ideas for future platform or capability enhancements
Qualification
Required
Bachelor's Degree in Computer Science or a related field
2+ years of professional software engineering experience building backend or data-driven applications
Proficiency in Python and experience developing APIs, services, or microservices
Solid understanding of data fundamentals, including data preprocessing, structured data handling, and data quality considerations
Strong analytical, problem-solving, and debugging skills
Ability to work independently and collaboratively in cross-functional engineering and scientific teams
Preferred
Master's or higher degree is a plus but not required
Exposure to AI/ML, Generative AI, LLMs, or RAG-based systems
Familiarity with common ML or AI libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain)
Experience with data pipelines or distributed systems
Experience with vector databases or embedding-based retrieval systems
Exposure to cloud-based development or deployment (preferably AWS)
Familiarity with agent-based systems, orchestration frameworks, or model deployment and monitoring concepts
Curiosity and enthusiasm for learning and applying emerging AI/ML and LLM technologies
Benefits
A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
Company
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Funding
Current Stage
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