Job Description

Roles & Responsibilities:



Develop intelligent solutions using Agentic frameworks, Large Language Models (LLMs), and Model Context Protocol (MCP) to deliver fast and scalable services across the organisation. Work closely with the software and data science teams to understand requirements and design appropriate solutions. Deploy and productionise machine learning (ML) and generative AI (GenAI) models on company infrastructure. Maintain and manage existing AI models on company infrastructure, including monitoring for data drifts and hallucinations as part of MLOps responsibilities. Contribute to and conduct research on AI frameworks and AI-safety evaluations of domain-trained models. Stay up to date with the latest developments in AI and introduce AI/GenAI solutions to enhance existing processes, serving as an AI subject matter expert. Maintain knowledge of regulatory standards for AI, particularly in the context of the financial services industry.


Requirements:



Bachelor's degree in computer science, computer engineering, data science, or a similar field, or equivalent experience/certifications. At least 2 years of experience in deploying and productionising large language models (LLMs). Experience with fine-tuning or domain adaptation of LLMs is a plus. Proficiency in programming languages such as Python. Experience working with retrieval augmented generation (RAG) processes. Familiarity with frameworks such as scikit-learn, PyTorch, LangChain, or other machine learning/agent frameworks. Experience with platforms such as Hugging Face, MLFlow, or similar. Proficiency with Docker or other containerization platforms. Experience with shell scripting and working in a Linux environment.


EA Reg. No. 25C2690 | EA License No. R1330510




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