Artificial Intelligence/Machine Learning Engineer

The Opportunity :

We need brilliant minds who can solve hard problems. We are building a small but mighty AI/ML team that's transforming how financial institutions handle compliance. This isn't about building flashy demos - we're creating real solutions that keep our customers out of trouble with regulators while saving them countless hours of manual work.

What you will do :

- Own end-to-end ML pipelines : data ingestion - feature engineering - model training - automated validation - deployment

- Lead development of RAG/agentic services that blend LLMs with our watch-list knowledge base and other products

- Optimize production models by profiling bottlenecks, refactoring for speed, and setting up drift monitoring

- Review code, mentor junior engineers, and maintain high standards

- Work with functional teams to ensure models meet various regulatory standards

Requirements :

Skills and experience we need :

- 4-6 years delivering ML solutions used in production

- Candidates should be able to work and take complete end to end from Ideation to completion.

- Depth in classical ML (feature selection, calibration, evaluation) and practical NLP/GenAI know-how

- Exposure to LLMs and related tooling (LangChain, LlamaIndex, etc.) and vector databases

- Clear communicator : can explain cosine similarity to Ops and latency trade-offs to Product

- Nice to have : Experience with AWS services (Bedrock, Lambda, EKS, S3). We live on AWS, so you'll pick it up quickly if you haven't used it before.