Senior Python Developer

• Design, develop, enhance, and maintain Generative AI and ML models using Python. 

• Independently debug, optimize, and test GenAI pipelines and model components with minimal supervision. 

• Develop Pythonbased model execution layers, including:  

• Azure Functions or similar serverless components 

• Lightweight APIs or callable services for model inference 

• Work closely with bankers and business stakeholders to understand requirements and translate them into:  

• Model logic 

• Prompt structures 

• Evaluation and validation frameworks 

• Implement and refine LLMbased workflows, including prompt engineering, orchestration logic, and retrievalbased approaches. 

• Strong working knowledge of Git and modern versioncontrol practices. 

• Experience with cloud platforms, with a strong preference for Microsoft Azure. 

• Support integration of models into Azurebased environments, collaborating with platform or enablement teams where required. 

• Perform model validation, performance analysis, and error analysis, ensuring outputs are reliable, explainable, and fit for business use. 

• Maintain clear documentation of model behavior, assumptions, limitations, and interfaces. 

• Contribute to best practices for GenAI development, testing, and governance in a regulated environment. 

Desirable skillsets/ good to have:

• Strong, handson experience in Python for ML / GenAI model development. 

• Proven experience developing, debugging, and enhancing Generative AI or advanced ML models in production or nearproduction environments. 

• Solid understanding of LLMs, transformerbased architectures, and GenAI workflows. 

• Experience packaging models into callable services (Azure Functions). 

• Prior experience in banking, financial services, or capital markets. 

• Ability to work independently with minimal supervision, owning model delivery endtoend. 

• Strong communication skills, with the ability to engage directly with bankers, clarify problem statements, and incorporate feedback into model design. 

• Experience working in global, crossfunctional teams. 

• Bachelor degree in a quantitative or technical discipline (Computer Science, Engineering, Mathematics, Statistics). 
• Handson experience with Azure cloud services, including:  
• Azure Functions 
• Azure storage or messaging components (Blob, Queue, Service Bus, etc.) 
• Exposure to LLM orchestration frameworks (e.g., LangChain, LlamaIndex). 
• Experience with prompt engineering, RAG pipelines, or agentbased workflows. 
• Familiarity with model serving, inference optimization, and monitoring in cloud environments. 
• Understanding of model risk management, explainability, and governance in regulated firms. 
  • Experience working alongside AI enablement or platform teams for deployment and scaling.