Data Scientist - Generative AI

Job Description

As a Senior Analyst at Dun & Bradstreet Technology and Corporate Services India LLP, your role will involve supporting the Data Science team in various GenAI initiatives across the organization. Your primary responsibilities will include:- Supporting and contributing to various GenAI initiatives.- Researching and staying UpToDate with the latest advancements in generative AI technologies, models, and frameworks.- Building and deploying applications leveraging generative models like LLMs, APIs, and open-source frameworks.- Leveraging state-of-the-art foundation models such as Gemini, GPT, LLaMA for tasks like text generation, summarization, code generation, and multimodal applications.- Building and orchestrating multi-agent systems.- Utilizing open-source frameworks and libraries like LangChain, LangGraph, FastAPI, Streamlit, Chainlit, Transformers, etc.- Integrating GenAI capabilities into enterprise applications using RESTful APIs, microservices, and cloud-native architectures.- Implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Qdrant, Weaviate, or ChromaDB.- Working with stakeholders to provide 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.- Familiarity with FastAPI, Gradio, Streamlit for rapid prototyping and deployment.- Strong grasp of Retrieval-Augmented Generation (RAG) and Agentic Architectures using tools like LangGraph, LangChain.- Experience in 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. As a Senior Analyst at Dun & Bradstreet Technology and Corporate Services India LLP, your role will involve supporting the Data Science team in various GenAI initiatives across the organization. Your primary responsibilities will include:- Supporting and contributing to various GenAI initiatives.- Researching and staying UpToDate with the latest advancements in generative AI technologies, models, and frameworks.- Building and deploying applications leveraging generative models like LLMs, APIs, and open-source frameworks.- Leveraging state-of-the-art foundation models such as Gemini, GPT, LLaMA for tasks like text generation, summarization, code generation, and multimodal applications.- Building and orchestrating multi-agent systems.- Utilizing open-source frameworks and libraries like LangChain, LangGraph, FastAPI, Streamlit, Chainlit, Transformers, etc.- Integrating GenAI capabilities into enterprise applications using RESTful APIs, microservices, and cloud-native architectures.- Implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Qdrant, Weaviate, or ChromaDB.- Working with stakeholders to provide 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.- Familiarity with FastAPI, Gradio, Streamlit for rapid prototyping and deployment.- Strong grasp of Retrieval-Augmented Generation (RAG) and Agentic Architectures using tools like LangGraph, LangChain.- Experience in 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.

Keyskills :
PythonSQLNumPyMatplotlibPysparkPandasScikitlearnSeabornStats modelsOpenAIAnthropicGoogle Vertex AIWatsonXFastAPIGradioStreamlitLangGraph