Data Scientist Associate

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As Applied AI/ML Engineer in an agile team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios.

Job Responsibilities


* Co-develop and implement LLM-based, machine learning models and algorithms to solve complex operational challenges


* Design and deploy generative AI applications including Retrieval-Augmented Generation (RAG) systems, agentic AI frameworks, and multi-agent orchestration solutions to automate and optimize business processes


* Build and optimize AI agent architectures with tool-calling capabilities, reasoning chains, and autonomous decision-making workflows


* Collaborate with stakeholders to understand business needs and translate them into technical solutions


* Analyze large datasets to extract actionable insights and drive data-driven decision-making


* Ensure the scalability and reliability of AI/ML solutions in a production environment using infrastructure as code practices


* Design and maintain cloud infrastructure using Terraform to support AI/ML workloads at scale


* Stay up-to-date with the latest advancements in AI/ML technologies, LLMs, and generative AI patterns, and integrate them into our operations


* Mentor and guide junior team members in coding & SDLC standards, AI/ML best practices and methodologies

Required qualifications, capabilities, and skills


* Master's or Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field, with a focus on engineering


* Excellent API design and engineering experience with proven usage of API Python frameworks such as FastAPI


* Proficiency in Python & async programming, with a strong emphasis on writing comprehensive test cases using testing frameworks such as pytest to ensure code quality and reliability


* Hands-on experience with generative AI technologies including RAG (Retrieval-Augmented Generation) architectures, prompt engineering, and LLM fine-tuning techniques


* Experience building agentic AI systems, including agent frameworks (LangChain, LangGraph, AutoGen, CrewAI), tool integration, and multi-agent coordination


* Expertise with Index & Vector DBs such as OpenSearch, ElasticSearch, Pinecone, or Chroma for semantic search and retrieval applications and Experience in deploying AI/ML applications in a production environment, with skills in deploying models on AWS platforms such as SageMaker, Bedrock, or Lambda


* Champion of MLOps practices, encompassing the full cycle from d...