Data Scientist / Python Engineer - Multiprocessing

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com / careers .

We are seeking a talented and driven Python Engineer / Data Scientist with a focus on Multiprocessing of many CPU's to help build a variety of Agentic AI solutions.

You will utilize Python for designing, developing, and deploying Agentic solutions, fine tune models that power the agents and build data pipelines to power our products and services.

This role offers the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to bring AI innovations to life.

Key Responsibilities

• Design and implement AI agents using Python, integrating both open-source frameworks (e.g., LangChain, VLLM, Ollama) and proprietary LLMs (Open AI, VertexAI, etc).
• Develop modular, scalable, and reusable components for agent architecture including memory, planning, tool use, and multi-modal capabilities.
• Collaborate with product teams to prototype and evaluate novel agent behaviors and learning strategies.
• Benchmark agent performance across tasks and environments; identify bottlenecks and optimize for efficiency and robustness.

Preferred Qualifications

Benefits We Offer

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