GEN AI Developer

UsefulBI; Bengaluru, Lucknow, Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

UsefulBI is seeking a Senior Data Scientist / Gen AI Developer in Bengaluru, India. This role involves transforming raw data into intelligent insights and developing AI models across sectors like healthcare and finance.

Key responsibilities include deploying applications using Large Language Models, optimizing prompts for various use cases, and collaborating with cross-functional teams to ensure alignment of AI implementations with business needs. Candidates should have over 7 years of relevant experience in data science and strong expertise in generative AI.

Qualifications

• 7+ years of experience in Data Science with a focus on Generative AI.
• Solid understanding of statistics, probability, and data modeling.
• Strong communication skills to explain models to non-technical audiences.

Responsibilities

• Develop and deploy applications using Large Language Models (LLMs).
• Implement Retrieval-Augmented Generation (RAG) workflows.
• Collaborate with cross-functional teams to align AI outputs with business needs.

Skills

Data Science

Generative AI

Python

NLP Techniques

Cloud Platforms

Model Lifecycle Management

Tools

TensorFlow

PyTorch

Hugging Face Transformers

Lang Chain

spaCy

NumPy

Scikit-learn

Job description

JOB DESCRIPTION

Job Summary

We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you’ll work across the entire data science lifecycle—from exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions. You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.

Key Responsibilities

• Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini.
• Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications.
• Design, optimize, and evaluate prompts tailored for various use cases and user personas.
• Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy.
• Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning.
• Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs.
• Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering.
• Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK.
• Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI.
• Build scalable and secure inference pipelines integrated with backend systems and APIs.
• Use tools like MLflow and Docker for model lifecycle management and MLOps best practices.
• Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs.
• Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge.

Required Skills & Qualifications:

• 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications.
• Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
• Experience in end-to-end ML lifecycle including model development, validation, and deployment.
• Solid understanding of statistics, probability, and data modeling.
• Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).
• Hands‑on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine‑tuning.
• Experience with SQL and at least one NoSQL database.
• Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).
• Strong communication skills with the ability to explain complex models to non‑technical audiences.