AI Engineer / Artificial IntelligenceContract- Banking

AI Engineer (Banking/Fintech Exposure Preferred)

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.

\- Collaborate closely with 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, 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.

Requirements:

\- Bachelor’s degree in computer science, computer engineering, data science, or a similar field, or equivalent experience/certifications.

\- Minimum of 2 years’ 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. R1877766