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Senior MLOps Engineer

Xebia sp. z o.o.Gdańsk, Pomeranian, Poland

29 dni temu

Opis pracy

technologies-expected :

MLOps
Python
CI / CD

responsibilities :

collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently,

implementing ML workflows / automating CI / CD pipelines,

automating model deployment and implementing model monitoring,

collaborating with Platform Engineers to implement backup and disaster recovery processes for ML workflows, especially models and experiments,

collaborating with stakeholders to understand the key challenges and inefficiencies of Machine Learning project lifecycles within the company,

keeping on top of the latest trends and advancements in data engineering and machine learning.

requirements-expected :

2+ years of experience developing and deploying machine learning systems into production,

5+ years of experience as a MLOps engineer or data engineer or software developer,

hands-on experience with cloud environments (AWS / Azure / GCP),

experience with tools such as Spark, PyTorch, TensorFlow and MLFlow,

knowledge of DevOps practices and tools, including Terraform,

experience with Docker and Kubernetes,

understanding of continuous integration and continuous deployment (CI / CD) practices, as well as experience with related tools like GitHub Actions or GitLab CI,

excellent verbal and written communication skills in English.

Work from the European Union region and a work permit are required.

Candidates must have an active VAT status in the EU VIES registry : https : / / ec.europa.eu / taxation_customs / vies.

offered :

Development budgets of up to 6,800 PLN

We fund certifications e.g. : AWS, Azure, ISTQB, PSM

Access to Udemy and Safari Books Online

Events and technology conferences

Technology Guilds

Internal training

Xebia Library

Xebia Upskill

Private medical healthcare

MultiSport card - we subsidise a MultiSport card

Mental Health Support

Flexible working hours

B2B or permanent contract

Contract for an indefinite period

benefits :

sharing the costs of sports activities

private medical care

sharing the costs of foreign language classes

sharing the costs of professional training & courses

life insurance

remote work opportunities

flexible working time

integration events

corporate library

no dress code

video games at work

coffee / tea

drinks

parking space for employees

leisure zone

employee referral program

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Senior Mlops Engineer • Gdańsk, Pomeranian, Poland

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