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 For more job updates, follow us at https://www.linkedin.com/company/tangspac-search/