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

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.

We’re proud to be: • 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

THINGS YOU WILL DO

Platform Engineering for ML

• Design, build, and improve MLOps platform components that support the full model lifecycle (development à validation à deployment à monitoring).

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

Model deployment & release engineering

• Implement robust deployment patterns for credit risk models (primarily batch; other patterns as required).

• Build & maintain CI/CD pipelines using Jenkins and GitHub, with appropriate quality gates and traceability.

• Automate environment configuration and repeatability using Ansible.

Monitoring, observability & operational readiness

• 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).

Collaboration & stakeholder management

• Work closely with credit risk modellers to productionise models built with tools such as TensorFlow, 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.

Skills & Experiences YOU Need TO GET THE JOB Done

• • 5+ years’ experience across MLOps/DevOps/Platform Engineering, with a track record of delivering production-grade ML or data solutions.

• • Strong experience building CI/CD and automation using Jenkins and GitHub.

• • Strong experience with Airflow (Bash), Bash itself, and Groovy for pipeline automation.

• • Hands-on configuration automation using Ansible.

• • Strong coding/scripting capability in Python (including PySpark), plus working knowledge of Spark.

• • Experience with ML tooling such as MLFlow, TensorFlow, 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).

• Nice to have:

• • Exposure to GCP services, especially Vertex AI and BigQuery.

• • 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.

• ONLINE RECRUITMENT PROCESS STEPS

• • Screening call with the Recruiter

• • Capco Hiring Manager Interview

• • Client’s interview

• • Feedback/Offer

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

• #LI-Hybrid