Senior Data Scientist

Overview

Senior Data Scientist role within Global Risk and Compliance to support transaction monitoring for AML using generative AI.

What you'll do

• Design and implement generative AI models and applications for AML transaction monitoring use cases.
• Build solutions using RAG, MCP, tool calling, and LangChain/LangGraph for dynamic workflows.
• Develop and optimize machine learning pipelines for fine-tuning LLMs and other foundation models.
• Implement content generation systems for text, image, and multimodal outputs.
• Apply computer vision techniques for image analysis, creative generation, and visual search.
• Implement evaluation frameworks for GenAI, including hallucination detection, bias checks, and quality scoring.
• Build observability and monitoring for AI systems, including latency, cost tracking, and model performance metrics.

What you'll need

• 2–3 years of hands-on experience implementing LLM models.
• Hands-on experience building and deploying generative AI solutions such as LLMs, diffusion models, and transformers.
• Expertise in RAG pipelines, MCP-based integrations, tool calling frameworks, and LangChain/LangGraph.
• Proficiency in Python and AI/ML frameworks such as PyTorch or TensorFlow.
• Experience with GenAI evaluation techniques like hallucination detection, factuality scoring, and bias evaluation.
• Knowledge of observability tools for AI systems to monitor latency, cost, and performance metrics.
• Experience with cloud platforms AWS and Azure and data engineering tools like Databricks.

Details

• Location: Pune, India.