Data Scientist(Gen AI , Databricks)

Job Title: Gen AI Developer

Location: Bangalore / Lucknow

Role Type: Full-time, Senior level

Company’s website: https://usefulbi.com

LinkedIn link: UBI LinkedIn

About UsefulBI:

UsefulBI is a leading AI-driven data solutions provider specialising in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.

Role Overview:

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 and 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.