28.08.2026

Data / AI Engineer

Databricks, GenAI, ML, Azure

AI ROOTS DATA CASE

Our client needs someone who can pick up existing solutions already in production, work through an active change-request backlog, and extend them — with room to build new capability where it fits.

Start

14.09.2026, ASAP

Duration

4mo

Location

Remote, Hybrid, remote

Allocation

100%

The client runs a live pipeline of finance data/AI solutions — end-to-end builds spanning data pipelines, data models, and the applications on top, plus machine learning components handling specific pieces of the workload (e.g. forecasting, anomaly detection).

Responsibilities

Maintain and further develop existing finance data/AI solutions, and develop new ones
Build and operate finance data pipelines, ML/GenAI solutions, agents and applications on Databricks and Azure
Perform Data/ML/AI Ops: CI/CD pipelines (e.g. Azure DevOps), deployment, monitoring, retraining, model evaluation
Work AI-enabled: use GitHub Copilot, Genie Code and similar tools to accelerate delivery
Reuse patterns and build reusable data products

Required Experience

Data engineering, AI engineering, machine learning and application development — Python, SQL, ML/GenAI frameworks, agent/LLM tooling
Databricks and Azure hands-on
Data/ML/AI Ops and CI/CD with Azure DevOps or equivalent
Strong AI-enabled development using GitHub Copilot, Genie Code and similar tools

Nice to Have

Prior experience working in Finance context.

This is a hands-on-from-day-one role — there's an active change-request backlog waiting, and the client wants someone who can get productive fast.

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