

 Job Description 
 Job Responsibilities 
 • Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes. 
 • Develop and maintain machine learning models to solve complex business problems 
 • Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions 
 • Analyse large, heterogenous datasets to extract actionable insights and inform decision-making 
 • Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems 
 • Identify the right state of the art solutions for the bank’s objectives and implement them as clean, production-ready code 
 • Communicate findings and recommendations through clear and concise reports and presentations 
 • Required qualifications, capabilities and skills 
 • Proficiency in Python and SQL and familiarity with good software engineering practices 
 • Excellent written and verbal communication 
 • Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn 
 • Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus 
 • Collaborative, humble and enthusiastic attitude 
 Preferred qualifications, capabilities and skills 
 • Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc 
 • Experience in deep neural networks and familiarity with the latest developments in related fields 
 • Experience in LLM model finetuning and continuous learning techniques 
 Experience in prompt engineering techniques and state-of-the-art LLM architectures 
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