Senior ML Engineer (Remote) — MLOps & Production Systems

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

Job summary

A leading IT services company seeks a Senior Machine Learning Engineer to join their remote team. The successful candidate will design, develop, and deploy scalable machine learning solutions, focusing on MLOps practices. Key responsibilities include optimizing ML pipelines and collaborating with data teams. This full-time role requires 8+ years of experience in machine learning and strong proficiency in Python and various machine learning frameworks. The position offers a competitive compensation package including private medical care and a multisport card.

Benefits

Private medical care covering 70% of costs

Multisport card

Rehabilitation package

Qualifications

• Minimum 8+ years experience in machine learning engineering.
• Strong proficiency in Python and modern ML frameworks.
• Hands-on experience with MLflow for model lifecycle management.

Responsibilities

• Design, develop, and deploy machine learning models for production environments.
• Implement and manage MLflow for experiment tracking and model deployment.
• Optimize ML pipelines for performance, scalability, and reliability.

Skills

Proficiency in Python

Experience with TensorFlow

Experience with PyTorch

Experience with Scikit-learn

Knowledge of CI/CD practices

Hands-on experience with Docker

Hands-on experience with Kubernetes

Problem-solving skills

Excellent communication skills in English

Tools

MLflow

AWS

Azure

GCP

Spark

Airflow

Job description

A leading IT services company seeks a Senior Machine Learning Engineer to join their remote team. The successful candidate will design, develop, and deploy scalable machine learning solutions, focusing on MLOps practices. Key responsibilities include optimizing ML pipelines and collaborating with data teams. This full-time role requires 8+ years of experience in machine learning and strong proficiency in Python and various machine learning frameworks. The position offers a competitive compensation package including private medical care and a multisport card.