Senior ML Engineer (Remote) — MLOps & Production Systems

Cyclad Sp. z o.o.; Remote; PLN 180,000 - 240,000; Full time

Job summary

An innovative IT services company is seeking a Senior Machine Learning Engineer to join their remote team. The role encompasses designing, deploying, and maintaining ML systems with a strong focus on MLOps and ML lifecycle management using MLflow. Candidates must have over 8 years of experience in machine learning, strong Python skills, and a solid understanding of modern ML frameworks. Additional offerings include a full-time agreement, private medical care, and a multisport card.

Benefits

Private medical care with dental care

Multisport card

Rehabilitation package

Qualifications

• 8+ years of experience in machine learning engineering or related roles.
• Strong proficiency in Python and modern machine learning frameworks.
• Hands-on experience with MLflow for model lifecycle management.
• Solid understanding of MLOps principles including CI/CD, containerization, and orchestration.
• Experience deploying ML workloads on cloud platforms.
• Knowledge of data engineering concepts and tools.
• Strong problem-solving skills in complex environments.
• Excellent communication skills in English.

Responsibilities

• Design, develop, and deploy machine learning models in production.
• Manage MLflow for experiment tracking and model deployment.
• Optimize ML pipelines for performance and scalability.
• Implement end-to-end ML pipelines covering all stages.
• Apply MLOps practices for operational stability.
• Collaborate with data scientists to improve model performance.
• Work with engineers to integrate ML solutions.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

CI/CD

Docker

Kubernetes

Spark

Airflow

Job description

An innovative IT services company is seeking a Senior Machine Learning Engineer to join their remote team. The role encompasses designing, deploying, and maintaining ML systems with a strong focus on MLOps and ML lifecycle management using MLflow. Candidates must have over 8 years of experience in machine learning, strong Python skills, and a solid understanding of modern ML frameworks. Additional offerings include a full-time agreement, private medical care, and a multisport card.