Jobs in Leszno, Poland
Senior ML Engineer (Remote) — MLOps & Production Systems
Cyclad Sp. z o.o.
Senior Machine Learning Engineer
Cyclad Sp. z o.o.
Remote Instructional Designer: Healthcare Learning
Blue Carrot
Middle Instructional Designer
Blue Carrot
Director, B2B Growth & Brand — Remote-friendly
Jobgether
Discover more opportunities than anywhere else. Find more jobs nowSpecjalista ds. Zarządzania Procesami IT
Poczta Polska S. A.
Senior Machine Learning Engineer
Cyclad Sp. z o.o.
Senior ML Engineer (Remote) — MLOps & Production Systems
Cyclad Sp. z o.o.
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Remote Director of Bank Partnerships (Fintech/Stablecoins)
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Director of Bank Relationships (Fintech/Stablecoins)
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Senior Machine Learning Engineer
Cyclad Sp. z o.o.
Senior ML Engineer (Remote) — MLOps & Production Systems
Cyclad Sp. z o.o.
Senior Machine Learning Engineer
Cyclad Sp. z o.o.
Senior ML Engineer (Remote) — MLOps & Production Systems
Cyclad Sp. z o.o.
Business Development Representative
Mona Lee
Remote Solar BDR: Scale AI-Driven Proposals
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SAP Data Migration Lead - S/4HANA & Mapping
Bayer CropScience Limited
Data Migration Object Coordinator(DMOC)
Bayer CropScience Limited
Global Fintech Partnerships Lead - Remote
Unlimit
Senior ML Engineer (Remote) — MLOps & Production Systems
Job summary
A leading IT services provider is seeking a Senior Machine Learning Engineer for a remote position. The role focuses on designing, deploying, and maintaining scalable machine learning solutions. Candidates should have at least 8 years of experience in machine learning engineering, strong proficiency in Python, and familiarity with modern machine learning frameworks. Additional skills in MLOps practices and experience with tools like MLflow, Docker, and Kubernetes are also essential. The position offers a full-time contract with competitive benefits.
Benefits
Qualifications
- Minimum 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.
Responsibilities
- Design, develop, and deploy machine learning models for production environments.
- Optimize ML pipelines for performance, scalability, and reliability.
- Implement CI/CD pipelines for automated testing and deployment.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.