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MLOps Engineer

Remote: 
Full Remote
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Offer summary

Key responsabilities:

  • Managing Kubernetes cluster for ML models
  • Working on data ingestion and transformation
  • Preparing data schemas and feature stores
  • Implementing data platform components
  • Responsible for data pipelines
Xebia Poland logo
Xebia Poland Large https://xebia.com/
1001 - 5000 Employees
See more Xebia Poland offers

Job description

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Your missions

Hello, let’s meet!

We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.

We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.

Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.

Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.

Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.

What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!

Now, we've talked a lot about ourselves – but we'd love to hear more about you.

Send us your resume to start the conversation and join the #Xebia.



You will be:
  • Managing Kubernetes cluster serving ML models, preparing deployments and monitoring,

  • Working with data ingestion and transformation,

  • Preparing data schemas and feature stores,
  • Implementing data platform components, responsible for data ingestion and data pipelines.

Required profile

Experience

Spoken language(s):
Check out the description to know which languages are mandatory.

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