UsefulBI Corporation - Data Scientist

Description :

Job Title : Gen AI Developer

Location : Bangalore / Lucknow

Role Type : Full-time, Senior level

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, youll work across the entire data science lifecyclefrom 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 :

- Design, develop, and deploy Generative AI applications using LLMs such as GPT-4, Claude, Mistral, Gemini, and frameworks like LangChain.

- Build GenAI-powered solutions including AI report generators, contextual chatbots,

summarization engines, and semantic search systems.

- Design, optimize, and evaluate prompts for diverse use cases and user personas.

- Implement and enhance Retrieval-Augmented Generation (RAG) pipelines to improve relevance and accuracy.

- Fine-tune and customize foundation models using LoRA, PEFT, and prompt-tuning techniques.

- Evaluate and monitor model performance across accuracy, latency, and business KPIs.

- Apply NLP techniques such as entity recognition, topic modeling, sentiment analysis, summarization, and question answering.

- Work with libraries and frameworks including Hugging Face Transformers, LangChain, spaCy,

and NLTK.

- Deploy and scale GenAI solutions on cloud platforms such as AWS Bedrock/SageMaker, GCP

Vertex AI, and Azure OpenAI.

- Build secure, scalable inference pipelines integrated with backend systems and APIs.

- Implement MLOps best practices using tools like MLflow, Docker, and CI/CD pipelines.

- Collaborate with product managers, data engineers, and designers to align AI solutions with business goals.

- Continuously explore and experiment with emerging GenAI models, tools, and research to keep solutions cutting-edge.

Required Skills & Qualifications :

- 7+ years of experience as a Data Scientist, with strong exposure to Generative AI / LLM-based

applications.

- Proficiency in Python and ML libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and

PyTorch.

- Experience across the end-to-end ML lifecycle : development, validation, deployment, and

monitoring.

- Strong foundation in statistics, probability, and data modeling.

- Hands-on experience with NLP libraries such as NLTK, spaCy, and Hugging Face Transformers.

- Practical experience with OpenAI APIs, LangChain, RAG architectures, and 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 AI concepts to non-technical stakeholders.