Apr 05, 2025 - Xebia sp. z o.o. is hiring a remote Senior MLOps Engineer. 💸 Salary: unspecified. 📍Location: Europe.
Role Description
MLOps Engineer is responsible for streamlining machine learning project lifecycles by designing and automating workflows, implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking. They collaborate with stakeholders and platform engineers to set up infrastructure, automate model deployment, monitor models, and scale training. MLOps Engineers possess a wide range of technical skills, including knowledge of orchestration, storage, containerization, observability, SQL, programming languages, cloud platforms, and data processing. Their expertise covers various ML algorithms and distributed training in environments like Spark, PyTorch, TensorFlow, Dask, and Ray. MLOps Engineers are essential for optimizing and maintaining efficient ML processes in organizations.
Qualifications
Requirements
Recruitment Process
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📍 | Be aware of the location restriction for this remote position: Europe |
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Salary
💸
unspecified
|
Remote
Location
Europe
|
Job Type
full-time
|
Posted
Apr 05, 2025
|
📍 | Be aware of the location restriction for this remote position: Europe |
‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
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