Genai/ml Engineer

Capco

Zurich, Switzerland
On-site
Python, spark, ci/cd, kubernetes
Production-grade pipeline orchestration
Feature engineering at scale
Design and build end-to-end data pipelines and feature engineering workflows on large-scale transactional data in regulated client environments

Job Summary

  • Design and build end-to-end data pipelines and feature engineering workflows on large-scale transactional data in regulated client environments.
  • Develop GenAI-powered solutions such as agentic workflows, RAG systems, and LLM-based automation to accelerate knowledge-intensive client processes.
  • Work directly with client stakeholders — from compliance SMEs to engineering teams — delivering documentation, knowledge transfer, and long-term enablement.

Matching Summary

Design and build end-to-end data pipelines and feature engineering workflows on large-scale transactional data in regulated client environments.

Skills & Requirements

Must-have

  • Python, Spark, CI/CD, Kubernetes
  • Production-grade pipeline orchestration
  • Feature engineering at scale
  • Statistical modeling, experiment design
  • Model explainability, threshold calibration
  • Tree-based methods, neural networks
  • LLM integration, prompt engineering, RAG

Nice-to-have

  • Client stakeholder management
  • Audit-ready documentation
  • Inclusive working environment

Key Requirements

  • Fluent German language skills
  • Strong client-facing communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter