Dun & Bradstreet

Compensation

Full Description

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 • Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field. • Experience with multi-agent systems, simulation environments, or robotics. • Familiarity with cloud platforms (GCP, AWS, Azure) and containerization (Docker, Kubernetes). • Work experience with graph data and time series as well as working knowledge of Reinforcement Learning algorithms and LLM fine tuning are pluses. Benefits We Offer · Generous paid time off in your first year, increasing with tenure. · Up to 16 weeks 100% paid parental leave after one year of employment. · Paid sick time to care for yourself or family members. · Education assistance and extensive training resources. · Do Good Program: Paid volunteer days & donation matching. · Competitive 401k with company matching. · Health & wellness benefits, including discounted Wellhub membership rates. · Medical, dental & vision insurance for you, spouse/partner & dependents. · Learn more about our benefits: http://bit.ly/41Yyc3d. All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform. Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found here. We participate in E-Verify - The current poster can be found here. Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.