Postes à Bytom, Pologne

Reference number: PL25/IC/MACHINELEARNINGENGINEER/REMOTE

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting‑edge technologies that shape the world of the future. We are seeking a highly experienced Senior Machine Learning Engineer to join a remote development team. The role focuses on designing, deploying, and maintaining scalable machine learning solutions in production environments, with a strong emphasis on MLOps practices and ML lifecycle management using MLflow. The candidate will collaborate closely with data scientists, data engineers, architects, and business stakeholders to deliver reliable, production‑grade ML systems.

• Type of project: IT Services
• Budget: 130-150 PLN net /h- b2b
• Project length: long term
• Only candidates with citizenship in the European Union and residence in Poland

• Design, develop, and deploy machine learning models for production environments
• Implement and manage MLflow for experiment tracking, model versioning, and model deployment
• Optimize ML pipelines for performance, scalability, reliability, and cost efficiency
• Implement end-to-end ML pipelines covering training, validation, deployment, monitoring, and retraining
• Apply MLOps best practices to ensure scalability, reproducibility, and operational stability
• Collaborate with data scientists to operationalize models and improve model performance
• Work closely with data engineers to integrate ML solutions with data pipelines and data platforms
• Build and maintain containerized ML applications using Docker and Kubernetes
• Implement CI/CD pipelines for automated testing, deployment, and monitoring of ML models
• Monitor model performance, data drift, and system health; perform root cause analysis when issues arise
• Ensure security, compliance, and best practices across cloud‑based ML deployments

• Minimum 8+ years" experience in machine learning engineering or related roles
• Strong proficiency in Python and modern machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn)
• Hands‑on experience with MLflow for model lifecycle management in production environments
• Solid understanding of MLOps principles, including CI/CD, containerization, and orchestration
• Experience deploying and operating ML workloads on cloud platforms (AWS, Azure, or GCP)
• Good knowledge of data engineering concepts and tools such as Spark and Airflow
• Strong problem‑solving skills and ability to work in complex, distributed environments
• Excellent verbal and written communication skills in English

• Full‑time job agreement based on b2b and employment contract
• Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible
• Multisport card (also for an accompanying person)