AI Engineer | Banking

📋 Description

• Build multi-agent workflows to optimize banking processes.
• Create data pipelines for processing, training, and deployment using Python.
• Train and fine-tune neural networks, including LLMs, for risk and queries.
• Collaborate with data scientists, engineers, and stakeholders to ship AI apps.
• Ensure AI models comply with banking regulations and privacy standards.
• Monitor production solutions; troubleshoot issues and update components.

🎯 Requirements

• 3-12 years AI/ML engineering experience focused on software development and deployment.
• Proficient in Python, Java, React Next, and Node.js.
• Hands-on training and fine-tuning neural networks for performance and scalability.
• Experience with LLMs (GPT, BERT) and agentic solutions (LangChain/LangGraph/ADK).
• Cloud deployment on AWS, Azure or Google Cloud.
• Strong ML fundamentals: supervision, metrics, bias mitigation.