Senior Data Scientist

Introduction

Your Role And Responsibilities

• Build GenAI solutions using LLMs, embeddings, vector DBs, and RAG pipelines.
• Create AI agents that can perform multi-step tasks reliably.
• Write strong, clean Python code for data processing, modelling, APIs, and pipelines.
• Design and manage vector search systems (FAISS, Pinecone, Weaviate, etc.).
• Work with product and engineering teams to ship AI features into production.
• Evaluate models, improve accuracy, reduce latency, and monitor performance.
• Bring structure to ambiguous problems and propose the right AI approach.
• Follow responsible AI practices and ensure the models are trusted and explainable.
• Mentor junior team members and raise the overall technical bar.
  

Required Technical And Professional Expertise

• Proficiency in Prompt Engineering, LLMs, Retrieval Augmented Generation, and Python
  

• Experience with GitHub, software development, CI/CD, and cloud deployment
• Experience of database management systems such as MySQL or PostgreSQL
• Knowledge of Agile development methodologies
• Experience using LLMs in software applications, including prompting, calling, and processing
  

• Experience with AI frameworks such as LangChain, Llamma Index, Crew.ai, Autogen
• Experience with LLM applications such as ChatGPT, Perplexity,
• Experience with RAG frameworks or engines (RAGflow, Haystack)
  

Preferred Technical And Professional Experience

• Experience with MLOps, CI/CD, and model monitoring.
• Familiarity with cloud platforms (Azure, AWS, GCP, IBM Cloud).
• Exposure to AI governance, model cards, and risk evaluation.
• Any open-source contributions or published work around GenAI.