GenAI/ML Engineer
Indexed description
We're looking for a senior software engineer with strong ML and GenAI skills to deliver end-to-end machine learning solutions for our financial services clients. You'll own the full lifecycle — from data pipelines and model development through production deployment and monitoring — working autonomously in complex, regulated environments.
This is your chance to make a real difference!
YOUR CAPCO DAY
- Design and build end-to-end data pipelines and feature engineering workflows on large-scale transactional data in regulated client environments
- Train, calibrate, and validate ML models — supervised, unsupervised, and ensemble — including threshold analysis and production-grade explainability
- Develop GenAI-powered solutions such as agentic workflows, RAG systems, and LLM-based automation to accelerate knowledge-intensive client processes
- Deploy and monitor models in production with drift detection, performance tracking, and multi-environment release management (Dev → Staging → Prod)
- Work directly with client stakeholders — from compliance SMEs to engineering teams — delivering documentation, knowledge transfer, and long-term enablement
- Strong software engineering foundation: Python, Spark, CI/CD, containerized deployments (Kubernetes), and production-grade pipeline orchestration (Airflow or equivalent)
- Data Science depth: feature engineering at scale, statistical modeling, experiment design, model explainability (e.g. Shapley Values), and threshold calibration under business constraints
- Hands-on ML experience: tree-based methods, neural networks, ensemble design, hyperparameter optimization, cross-validation, and out-of-time testing
- Practical GenAI experience: LLM integration, prompt engineering, RAG architectures, and agentic workflows for automating knowledge-intensive processes
- Fluent German and strong client-facing communication skills, with the ability to produce audit-ready documentation for regulated environments
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