Data Scientist

Position Description

This role is hybrid and requires you to be at our Client office at a minimum 4 days per week - subject to change at any time.

We're looking for an AI/ML Engineer with hands‑on experience building and deploying production‑grade models, including Generative AI solutions. You will design, train, evaluate, and operationalize models on modern cloud data platforms, implement robust MLOps/LLMOps practices, and collaborate with data, platform, and product teams to drive end‑to‑end delivery.

Your future duties and responsibilities

• Model Development: Design, train, fine‑tune, and evaluate ML and GenAI models (supervised/unsupervised, NLP, CV, and LLM‑based use cases).
• Model Deployment: Package and deploy models to production using containers and CI/CD; implement scalable serving with REST/gRPC, batch, and streaming pipelines.
• MLOps/LLMOps: Establish automated training, evaluation, model registry, feature sto...