ML Ops Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Enhance, standardize, and deploy data science and machine learning solutions at scale within cloud-based environments (Azure).

• Engage in the complete lifecycle of data science projects utilizing DevOps, code, experiment, and model management, CI/CD, and other industry-standard practices.

• Develop well-structured, testable, and efficient code.

• Collaborate closely with data engineering to continually refine our data consumption methods and model deployment in production.

• Design and oversee monitoring, troubleshooting, debugging, and incident management for our ML pipelines.

• Act as a trusted advisor and advocate to the team and stakeholders regarding various aspects of ML Ops, including scaling, throughput, infrastructure, and deployment strategies.

⛳️ Requirements

• Over 2 years of professional experience in ML Ops or ML engineering, specifically in productionizing and scaling ML models, focusing on support for data scientists/researchers (not primarily on research/modeling work).

• Extensive familiarity with the Azure cloud environment and Databricks, including its setup and maintenance as an ML platform.

• Advanced proficiency in Python and SQL within version control systems (git), along with their application in constructing ML and data pipelines.

• Demonstrated experience with software development best practices, including testing, continuous integration, and DevOps tools.

• Solid understanding of the data science lifecycle and how data scientists operate to create value.

• Knowledge of agile software development lifecycles (SCRUM, Kanban, etc.).

• Strong focus on code clarity, ease of development, and accuracy of implementations.

• Business-level proficiency in English, both written and spoken.

• Experience in productionizing ML tools with a user interface, such as Streamlit, Dash, or Shiny R.

• Experience setting up Azure cloud resources for data solutions.

• Excellent communication skills to guide audiences with varying technical backgrounds through complex ML Ops topics.

• Experience in coaching and mentoring junior team members in your areas of expertise.

🏝️ Benefits

• Full-time employment contract.

• Engaging work within a multicultural team of talented individuals – data enthusiasts and practitioners.

• Flexible remote work options, or access to a modern office in Warsaw’s Mokotów, conveniently located near Metro Wilanowska.

• Internal training programs and access to external knowledge resources aimed at enhancing your skills and expertise.

• Support in developing your ML/data ops skills and portfolio through participation in and presentations at conferences and events.

• Opportunities for further development within our Data Science Hub and the international organization.

• Competitive benefits package, including private medical care (LuxMed), life insurance, Pension Fund, Social Fund, Multisport card, discounts at the canteen and Nestlé boutique, and free parking.

• Additional 2 days of annual leave for employees who fully utilize their annual leave entitlement within a calendar year.

• Bonus system.

• Parental benefits: welcome gift upon the birth of a child, additional day off for fathers on this occasion; for the father or Second Carer, an additional 4-week fully paid leave; an extra day off for childcare until the child's 14th birthday.

• Interesting and challenging work in an international branch of a globally recognized FMCG company.

• Employee development programs and growth opportunities within the organization.

• “DbajMY” program promoting employees’ health and well-being.

• Partially paid Sabbatical available after 7 years of service.

• Work environment built on respect, collaboration, and openness to diversity.

• Opportunity to participate in Sustainability projects and join a community focused on creating sustainable solutions.