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.

Job Source:

This job was posted by Moditaa Dant from UsefulBI.