GenAI/ML Engineer at CAPCO
Switzerland, Manitoba, Switzerland -
Full Time


Start Date

Immediate

Expiry Date

11 Dec, 26

Salary

0.0

Posted On

12 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.

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

 

YOUR CAPCO FIT

  • 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

 

Ready to take the Next Step 

  • If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory.
Responsibilities
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