Applied AI ML Engineer - Associate

Overview

In this role you will deliver end-to-end AI/ML solutions as cloud-native microservices to enhance customer experiences and drive efficiency. You’ll work within the International Consumer Bank, collaborating with cross-functional squads in a startup-spirited, flat-structure environment. You will develop production-ready Python-based AI/ML solutions on AWS/GCP and explore AI/LLM approaches, including prompt engineering and RAG patterns. This is a hands-on role with opportunities to influence product delivery, governance, and risk considerations while contributing to fintech innovation at scale.

Responsibilities

• Deliver AI/ML applications and services that improve customer experiences and increase operational efficiency
• Work across the AI/ML delivery lifecycle from requirements to deployment, monitoring, and iteration
• Develop Python-based AI/ML solutions on AWS/GCP as part of a delivery team
• Build and evaluate AI/LLM solutions including prompt/RAG patterns and agentic workflows
• Apply ML techniques to forecasting, segmentation/CLV, causal inference, and other business problems
• Analyze large, heterogeneous datasets using SQL togenerate insights and validate assumptions
• Collaborate with stakeholders and cross-functional delivery teams
• Produce clear documentation, reports, and presentations for technical and non-technical audiences
• Support governance activities including model/data-use documentation and risk/privacy/controls inputs

Key requirements

• Familiarity with AI/LLM development patterns and frameworks (prompt engineering, RAG, LangChain/LangGraph and/or Google ADK)
• Strong Python and SQL; production-ready code
• Strong AI/ML fundamentals (statistics, probability, linear algebra, model evaluation)
• Experience with scikit-learn and PyTorch or TensorFlow
• Practical DevOps mindset (testing, CI/CD, reproducibility, code quality, operational awareness)
• Excellent written and verbal communication; ability to explain technical trade-offs
• Collaborative, curious, comfortable with ambiguity

• collaborative
• curious
• solution-oriented
• Python
• SQL
• AI/ML fundamentals

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