ML Engineer

Our requirements

• Professional experience in machine learning engineering or a closely related role.
• Strong Python skills and practical experience with common machine learning frameworks and libraries.
• Hands-on experience with Microsoft Azure in a machine learning or data context.
• Practical knowledge of MLOps, CI/CD, model deployment, and monitoring practices.
• Ability to work effectively with project stakeholders and within a delivery team.
• Good communication, problem-solving, and documentation skills.

Your responsibilities

• Design, develop, test, and deploy machine learning models and solutions.
• Build and maintain scalable machine learning pipelines in Microsoft Azure.
• Use Python for data preparation, model development, automation, and integration.
• Implement MLOps practices covering model versioning, deployment, monitoring, and retraining.
• Collaborate with data engineers, software engineers, and project stakeholders to translate business requirements into production-ready solutions.
• Create and maintain technical documentation related to models, pipelines, and delivered solutions.

This is how we work on a project

• Continuous Deployment
• Continuous Integration

What we offer

• Learning & development opportunities – after your probation period, you’ll have access to a highly flexible and generous English language reimbursement program, along with an individual development budget to use as you see fit.
• Classic benefits like private medical care, a sports card, and a preferential life insurance plan. Plus, our infamous Fruit Tuesdays and Wednesdays.
• A hybrid work setup with plenty of flexibility. Delivery teams work mostly remotely. Enabling functions teams come to the office at least once a week. As an HR team, we meet every Wednesday. On the remaining days, you can choose where you work.
• A bunch of non-work activities, including Office Day (a fun-filled day when employees from all over Poland gather at the office), POP UP integrations, various competitions from cooking to photography, and the chance to submit charity causes to our CF4GOOD program, which provides support to those in need.
• A workplace that values people and is built on collaboration, not competition. If you’re tired of toxic work environments, you’ll finally get a chance to breathe. And if you’ve been lucky with great employers so far, we’ll do our best to keep that streak going.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• integration events
• no dress code
• parking space for employees

C&F