MLOps Engineer (m / f / d)​ @ KRUK S.A.

The Analytics Platform Chapter is a dynamic and cross-functional team at the heart of our data-driven transformation. Join us in designing, building and maintaining a modern Analytical Platform (Azure Databricks) that enables scalable, secure and high-impact analytical solutions across the organization.

What We offer :

• Employment based on employment contract / B2B
• Flexible starting hours
• Possibility of full remote work / hybrid model
• Attractive employee benefits package : private medical care (Luxmed), subsidy for Multisport card, additional benefits tailored to your needs within the cafeteria system, group insurance for employees on preferential terms
• Opportunity to receive an attractive bonus in the employee referral program
• Possibility to rent a company car for private use

We are dedicated to creating an inclusive recruitment process that upholds the principles of equal opportunity. Our focus is on candidates' competencies and their willingness to grow, regardless of gender, age, disability, religion, sexual orientation, background, or any other factors unrelated to their qualifications. We go the extra mile to ensure the recruitment process is accessible and thoughtfully tailored to accommodate individual needs.

Nice to have :

The Analytics Platform Chapter is a dynamic and cross-functional team at the heart of our data-driven transformation. Join us in designing, building and maintaining a modern Analytical Platform (Azure Databricks) that enables scalable, secure and high-impact analytical solutions across the organization.

What We offer :

We are dedicated to creating an inclusive recruitment process that upholds the principles of equal opportunity. Our focus is on candidates' competencies and their willingness to grow, regardless of gender, age, disability, religion, sexual orientation, background, or any other factors unrelated to their qualifications. We go the extra mile to ensure the recruitment process is accessible and thoughtfully tailored to accommodate individual needs.

,[Collaborate on the implementation and maintenance of CI / CD processes for ML projects., Participate in the implementation of model monitoring, version management, and anomaly detection., Support Data Science teams in automating ML pipelines and applying MLOps best practices., Maintain and optimize infrastructure for cost efficiency., Assist in resolving incidents and technical issues related to ML pipelines., Work with technical and business teams to integrate ML solutions with organizational systems., Co-develop standards and best practices for using the analytical platform.] Requirements : MLOps, Azure, Databricks, Python, SQL, CI / CD, MLflow, Kubernetes, Docker, Spark, REST API, R Additionally : Sport subscription, Private healthcare.