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

<p><strong>CAPCO POLAND&nbsp;</strong></p> <p><strong>*We are looking for Poland based candidate. Hybrid work. Warsaw is preferred.&nbsp;</strong></p> <p><em></em></p> <div class="x_elementToProof" data-olk-copy-source="MessageBody">At&nbsp;<strong>Capco Poland,</strong>&nbsp;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.</div> <div class="x_elementToProof">Our secret?</div> <div class="x_elementToProof">A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first.</div> <div class="x_elementToProof">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.</div> <div class="x_elementToProof">We’re proud to be:<br>• Trailblazers in banking, payments, capital markets, wealth, and asset management<br>• Champions of an agile, nimble, and innovative work environment<br>• Dedicated to building a team of top-notch professionals who share our drive and vision</div> <p><em></em></p> <p>&nbsp;</p> <p><strong>THINGS YOU WILL DO</strong></p> <p>Platform Engineering for ML</p> <ul> <li>Design, build, and improve MLOps platform components that support the full model lifecycle (development à validation à deployment à monitoring).</li> <li>Create reusable templates and standardized pipelines to reduce time-to-production and improve consistency across teams.</li> </ul> <p>Model deployment &amp; release engineering</p> <ul> <li>Implement robust deployment patterns for credit risk models (primarily batch; other patterns as required).</li> <li>Build &amp; maintain CI/CD pipelines using <strong>Jenkins</strong> and <strong>GitHub</strong>, with appropriate quality gates and traceability.</li> <li>Automate environment configuration and repeatability using <strong>Ansible</strong>.</li> </ul> <p>Monitoring, observability &amp; operational readiness</p> <ul> <li>Implement model and pipeline monitoring covering operational health, data quality signals, and model performance/drift indicators.</li> <li>Establish dashboards, alerting, and runbooks; partner with stakeholders to ensure alerts are actionable and aligned to business impact.</li> <li>Drive continuous improvement through post-release reviews and reliability enhancements (no on-call requirement).</li> </ul> <p>Collaboration &amp; stakeholder management</p> <ul> <li>Work closely with credit risk modellers to productionise models built with tools such as <strong>TensorFlow</strong>, <strong>MLFlow</strong>, and similar.</li> <li>Translate modelling needs into scalable engineering solutions, balancing pace with control expectations.</li> <li>Mentor junior team members (nice-to-have) and contribute to shared engineering standards and documentation.</li> </ul> <p>&nbsp;</p> <p><strong>SKILLS &amp; EXPERIENCES YOU NEED TO GET THE JOB DONE</strong></p> <ul> <li>5+ years’ experience across MLOps/DevOps/Platform Engineering, with a track record of delivering production-grade ML or data solutions.</li> <li>Strong experience building CI/CD and automation using <strong>Jenkins</strong> and <strong>GitHub</strong>.</li> <li>Strong experience with <strong>Airflow</strong> (Bash), <strong>Bash</strong> itself, and <strong>Groovy</strong> for pipeline automation.</li> <li>Hands-on configuration automation using <strong>Ansible</strong>.</li> <li>Strong coding/scripting capability in <strong>Python</strong> (including <strong>PySpark</strong>), plus working knowledge of <strong>Spark</strong>.</li> <li>Experience with ML tooling such as <strong>MLFlow</strong>, <strong>TensorFlow</strong>, and similar, including model packaging and deployment considerations.</li> <li>Proven ability to implement <strong>observability</strong> (metrics/logs/dashboards/alerting), with tooling flexibility (e.g., <strong>Grafana</strong>, <strong>Splunk</strong>, or similar).</li> <li>Comfortable working in hybrid environments; experience with <strong>Hadoop</strong> and an ability to integrate with cloud services (preference for <strong>GCP</strong>).</li> </ul> <p><strong>Nice to have:&nbsp;</strong></p> <ul> <li>Exposure to <strong>GCP</strong> services, especially <strong>Vertex AI</strong> and <strong>BigQuery</strong>.</li> <li>Experience with <strong>secrets management</strong> (tooling flexible).</li> <li>Familiarity with <strong>Model Risk Management</strong>, SDLC controls, and <strong>data lineage</strong> concepts in regulated environments.</li> <li>Prior experience mentoring junior engineers and helping teams adopt standard patterns.</li> </ul> <p>&nbsp;</p> <p><strong></strong></p> <p><strong>ONLINE RECRUITMENT PROCESS STEPS</strong></p> <ul> <li>Screening call with the Recruiter</li> <li>Capco Hiring Manager Interview</li> <li>Client’s interview</li> <li>Feedback/Offer</li> </ul> <p>&nbsp;</p> <p><span data-teams="true"><strong>We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.</strong></span></p> <p><strong></strong></p> <p>&nbsp;</p>