Capco Logo

Capco

GenAI/ML Engineer

Posted 19 Days Ago
Be an Early Applicant
Hybrid
Zürich
Senior level
Hybrid
Zürich
Senior level
Build end-to-end machine learning and GenAI solutions for regulated financial services clients. Responsibilities include developing scalable data pipelines, training and validating ML models, creating RAG and agentic LLM workflows, deploying and monitoring production models, detecting drift, managing releases, and collaborating with compliance and engineering stakeholders on documentation and knowledge transfer.
The summary above was generated by AI

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

About Capco

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.


Similar Jobs at Capco

Yesterday
Hybrid
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Advise banking clients on management reporting and MIS development. Own business-functional analysis across business, data, and IT; define banking KPIs; translate requirements into reporting concepts; optimize data and reporting processes; facilitate stakeholder workshops; and support testing, KPI validation, and reporting solution implementation.
Top Skills: Business IntelligenceCloud Data PlatformsManagement Information SystemsModern Bi Architectures
4 Days Ago
Hybrid
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Consults with financial services clients on business and technology transformation initiatives. Analyzes requirements, system landscapes, application architectures, data flows, data quality, governance, master data, CRM processes, and business processes. Translates complex needs into concepts, specifications, user stories, and recommendations while coordinating Business, IT, Data, CRM, Architecture, and project stakeholders to develop pragmatic solutions.
Top Skills: Application ArchitectureCRMData FlowsData GovernanceMaster Data
7 Days Ago
Hybrid
Junior
Junior
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Consult as part of a financial-services engagement team to perform large-scale KYC/AML client file reviews and remediation for Swiss wealth and private banking clients. Conduct detailed KYC/AML analysis, quality checks, handle complex cases, escalate when needed, collaborate with advisory and compliance stakeholders, and contribute to Capco's Wealth & Asset Management and Risk & Compliance marketing efforts.

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account