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 modelling 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.
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, summarisation engines, and semantic search applications.
- Design, optimise, 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 customise 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 modelling, summarisation, sentiment analysis, and question answering.
- Work with libraries and frameworks such as Hugging Face Transformers, LangChain, 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.
Requirements
- 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, and PyTorch.
- Experience in end-to-end ML lifecycle including model development, validation, and deployment.
- Solid understanding of statistics, probability, and data modelling.
- 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.
This job was posted by Prriya Panigrahi from UsefulBI.
