Senior ML Engineer (Remote) — MLOps & Production Systems

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

Job summary

A prominent IT services company seeks a Senior Machine Learning Engineer to join its remote development team. The role focuses on designing, deploying, and maintaining machine learning solutions in production environments. Ideal candidates will have over 8 years of experience in machine learning, strong proficiency in Python, and hands-on experience with MLflow. You will work closely with data scientists and engineers to ensure the successful delivery of reliable ML systems. Full-time employment based on b2b contracts is offered, along with competitive benefits.

Benefits

Private medical care with dental coverage

Multisport card

Rehabilitation package

Qualifications

• Minimum 8+ years 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 in production environments.
• Solid understanding of MLOps principles.

Responsibilities

• Design, develop, and deploy machine learning models for production environments.
• Implement and manage MLflow for experiment tracking.
• Optimize ML pipelines for performance and reliability.
• Apply MLOps best practices for operational stability.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLflow

MLOps

Data engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Spark

Airflow

Job description

A prominent IT services company seeks a Senior Machine Learning Engineer to join its remote development team. The role focuses on designing, deploying, and maintaining machine learning solutions in production environments. Ideal candidates will have over 8 years of experience in machine learning, strong proficiency in Python, and hands-on experience with MLflow. You will work closely with data scientists and engineers to ensure the successful delivery of reliable ML systems. Full-time employment based on b2b contracts is offered, along with competitive benefits.