AI ML Engineer

3+ years of professional experience writing production-ready code in a language such as Python Familiar with building end to end AI/ML systems with MLOps and DevOps practices (CI/CD, continuous training, evaluation, and performance tracking) with hands-on experience using MLflow At least 3 years experience in hands-on development of machine learning models using frameworks like Pytorch and tensorflow At least 1 year focused on generative AI using techniques such as RAG, Agentic AI, and Prompt Engineering Familiarity with Claude and/or Gemini is desired Strong communication skills and experience collaborating cross-functionally with product, design, and engineering Proficient working in cloud environments (GCP preferred) Proficient in contributing to containerized applications (Docker, Kubernetes) Proficient in creating APIs using FastAPI, Flask, or other frameworks Hands-on experience with Databricks, BigQuery or comparable big data systems Strong SQL skills, bonus points for familiarity with dbt

Design and architect state-of-the-art AI/ML solutions to unlock valuable insights from unstructured banking documents Build document parsers and classifiers Build, deploy and maintain new and existing AI/ML solutions Write clean, testable, and maintainable code Establish meaningful criteria for evaluating algorithm performance and suitability Interact with a diverse team: internal domain experts, product managers, engineers, and designers Keep up to date with AI/ML best practices and evolving open-source frameworks