Dun & Bradstreet Technology and Corporate Services India LLP are 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 fulfil the deliverables on a timely basis

Primary Responsibilities :

- Support and contribute to various GenAI initiatives across the organization.

- Research and stay UpToDate 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 :

- 7 to 10 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 Stats models.

- 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