Senior Gen AI Engineer (r - 18447 )

Senior Gen AI Engineer

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!

Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidates for the role of Senior Analyst to support the Data Science team. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill the deliverables on a timely basis.

Primary Responsibilities

• Support and contribute to various GenAI initiatives across the organization.
• Research and stay up to date with the latest advancements in generative AI technologies, models, and frameworks.
• Build and deploy applications leveraging generative models (e.g., LLMs), APIs, and open-source frameworks.
• Leverage state-of-the-art foundation models (e.g., Gemini, GPT, LLaMA etc.) for tasks such as text generation, summarization, code generation, and multimodal applications.
• Build and orchestrate multi-agent systems
• Utilize open-source frameworks and libraries such as:
• LangChain, LangGraph, FastAPI, Streamlit, Chainlit, Transformers etc.
• Integrate GenAI capabilities into enterprise applications using RESTful APIs, microservices, and cloud-native architectures.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Qdrant, Weaviate, or ChromaDB.
• Work with stakeholders in providing additional analysis based on specific needs

Key Requirements

• 5 to 8 years of hands-on experience in Data Analytics, Data Science, or Generative AI roles.
• Proven track record of delivering analytical and AI-driven solutions in production environments.
• Ability to interpret complex data and translate it into meaningful business insights and recommendations.
• Strong programming proficiency in Python, PySpark, and SQL for data manipulation, analysis, and model development.
• Deep understanding of Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, and Statsmodels.
• Experience with GenAI tools and frameworks including:
• OpenAI, Anthropic, Google Vertex AI, WatsonX
• FastAPI, Gradio, Streamlit for rapid prototyping and deployment
• Strong grasp of Retrieval-Augmented Generation (RAG) and Agentic Architectures using tools like LangGraph, LangChain.
• Experience designing and building APIs and services for model serving using frameworks like FastAPI.
• Good to have - understanding of MLOps principles, including model versioning, automated evaluation, and CI/CD for machine learning.
• Excellent verbal, written communication and presentation skills