Senior ML Ops​/Devops - Hybrid; She​/He​/They

Senior ML Ops/Devops - Hybrid (She/He/They)

Poland

CAPCO POLAND

* We are looking for Poland based candidate. Hybrid work. Warsaw is preferred.

At
Capco Poland,we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.

Our secret?

A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first.

We’re passionate about growth - both for our clients and ourselves - and that means attracting the very best talent to join us on this exciting journey.

• Trailblazers in banking, payments, capital markets, wealth, and asset management
• Champions of an agile, nimble, and innovative work environment
• Dedicated to building a team of top-notch professionals who share our drive and vision

• Create reusable templates and standardized pipelines to reduce time‑to‑production and improve consistency across teams.

• Implement robust deployment patterns for credit risk models (primarily batch; other patterns as required).
• Build & maintain CI/CD pipelines using Jenkins and Git Hub
  , with appropriate quality gates and traceability.
• Automate environment configuration and repeatability using Ansible
  .

• Implement model and pipeline monitoring covering operational health, data quality signals, and model performance/drift indicators.
• Establish dashboards, alerting, and runbooks; partner with stakeholders to ensure alerts are actionable and aligned to business impact.
• Drive continuous improvement through post-release reviews and reliability enhancements (no on‑call requirement).
• Work closely with credit risk modellers to product ionise models built with tools such as Tensor Flow
  , MLFlow
  , and similar.
• Translate modelling needs into scalable engineering solutions, balancing pace with control expectations.
• Mentor junior team members (nice-to-have) and contribute to shared engineering standards and documentation.
• 5+ years’ experience across MLOps/Dev Ops/Platform Engineering, with a track record of delivering production‑grade ML or data solutions.
• Strong experience building CI/CD and automation using Jenkins and Git Hub
  .
• Strong experience with Airflow (Bash),
  Bash itself, and Groovy for pipeline automation.
• Strong coding/scripting capability in Python (including Py Spark ), plus working knowledge of Spark
  .
• Experience with ML tooling such as MLFlow
  , Tensor Flow
  , and similar, including model packaging and deployment considerations.
• Proven ability to implement observability (metrics/logs/dashboards/alerting), with tooling flexibility (e.g.,
  Grafana
  , Splunk
  , or similar).
• Comfortable working in hybrid environments; experience with Hadoop and an ability to integrate with cloud services (preference for GCP
  ).

• Exposure to GCP services, especially Vertex AI and Big Query
  .
• Experience with secrets management (tooling flexible).
• Familiarity with Model Risk Management
  , SDLC controls, and data lineage concepts in regulated environments.
• Prior experience mentoring junior engineers and helping teams adopt standard patterns.

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.