ML Engineer

Experis Manpower Group; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading staffing and recruitment agency in Poland is seeking an experienced Machine Learning Engineer to drive the development of advanced machine learning solutions. In this 100% remote role, you will design, implement, and manage scalable ML models. The ideal candidate will have over 5 years of experience, strong proficiency in Python and frameworks like TensorFlow and PyTorch, and familiarity with MLOps. Competitive hourly pay along with a comprehensive benefits package is offered.

Benefits

Medicover healthcare package

Multisport card

Access to an e-learning platform

Group life insurance

Qualifications

• Minimum 5 years of experience in machine learning engineering or related roles.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with MLflow for model lifecycle management.
• Solid understanding of MLOps principles and tools, including Docker, Kubernetes, and CI/CD pipelines.
• Experience with cloud platforms (AWS, Azure, or GCP) for ML deployment and scaling.

Responsibilities

• Design, develop, and deploy machine learning models for production environments.
• Implement and manage MLflow for experiment tracking, model versioning, and deployment.
• Optimize ML pipelines for performance, scalability, and reliability.
• Collaborate with data engineers and software developers to integrate ML solutions into existing systems.
• Monitor and maintain ML models in production, ensuring continuous improvement and stability.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLflow

Docker

Kubernetes

CI/CD pipelines

MLOps principles

Cloud platforms (AWS, Azure, GCP)

Job description

Start Date: ASAP / Within 1 Month / Flexible

Work Model: 100% Remote

Contract Type: B2B (180-190 PLN/h + VAT)

We are looking for an experienced Machine Learning Engineer to join our team and drive the development and deployment of advanced machine learning solutions. This role involves designing and implementing scalable ML models, managing their lifecycle in production environments, and ensuring optimal performance and reliability.

Responsibilities

• Design, develop, and deploy machine learning models for production environments.

• Implement and manage MLflow for experiment tracking, model versioning, and deployment.

• Optimize ML pipelines for performance, scalability, and reliability.

• Collaborate with data engineers and software developers to integrate ML solutions into existing systems.

• Monitor and maintain ML models in production, ensuring continuous improvement and stability.

Expectations

• Minimum 5 years of experience in machine learning engineering or related roles.

• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.

• Hands-on experience with MLflow for model lifecycle management.

• Solid understanding of MLOps principles and tools, including Docker, Kubernetes, and CI/CD pipelines.

• Experience with cloud platforms (AWS, Azure, or GCP) for ML deployment and scaling.

What We Offer

• Medicover healthcare package

• Multisport card

• Access to an e-learning platform

• Group life insurance