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DEVOPS ENGINEER FOR MACHINE LEARNING

About position

Work dedicated to automation, speeding up and enabling Machine Learning and Advanced Analytics capabilities across the bank. Client's Data Science teams in different business lines need capabilities for data exploration, Machine Learning model creation, operationalization, and retraining.

You will be a part of the team enabling such requirements while building, upgrading, and maintaining a Central Advanced Analytics Platform in Azure with the latest tools, best practices, and possible automation.

Tasks:

  • Building and supporting Data Science Exploration and Production Platforms in the cloud providing the latest Advanced Analytics and Machine Learning capabilities.
  • Designing new solutions and improving the reliability of the existing environment.
  • Infrastructure automation using CI/CD principles and/or infrastructure as Code.
  • Integrating various tools and technologies in the DevOps toolchain to accelerate Data Science teams' use cases from development to real-world applications.
  • Identify industry best practices and draft standards for the design and implementation of automation workflows.

Requirements

  • 2+ years of experience with building, managing, and supporting cloud-based platforms.
  • Strong experience with scripting languages (e.g. Python, Bash).
  • 3+ years of experience working as a DevOps engineer managing applications in the cloud (solution design, building, monitoring, and operations, preferably in Azure)
  • Experience in design, implementation, and maintenance of CI/CD pipelines in Azure DevOps to set up and support the platform.
  • Experience with service containerization and orchestration (e.g. Docker, K8s, Azure Kubernetes Services).
  • Experience in implementing infrastructure as Code for platform implementation and maintenance (eg. Bicep, Terraform).
  • Experience with one or more Data Science and Engineering tools from our tech stack is nice to have (Databricks, Apache Spark, MLflow, Airflow, AMLS, Cognitive Services).
  • Experience with implementing monitoring tools.
  • Experience working in Data Science or MAchince Learning field.

We offer

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Competitive compensation

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Equality and start-up atmosphere

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Life insurance

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Referral bonus

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Flexible working hours

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Parties – excellent ones

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Limitless. We don’t have a rigid raise program

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English classes

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Co-financing of a MultiSport card

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Co-financing of LUXMED medical care package

Meet our recruiters
Dominika Komar

Dominika Komar

International Talent Acquisition Specialist

I’m an artistic soul and an analytical mind, who loves to take on new challenges. I’m also a self-proclaimed master of time management. Professionally, I'm fascinated by the use of new technologies in recruitment and employer branding.

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Bartosz Wyrwas

Bartosz Wyrwas

Talent Acquisition Specialist 

IT world builds an exciting future, and my goal is to find exceptional talent that will rise to the opportunities available in our company.

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Maja Pogorzelczyk

Maja Pogorzelczyk

Talent Acquisition Specialist 

As a fan of human behavior, I’ve been appreciating working with interesting people, so recruiting gives me this opportunity to find unique minds. Thanks to such people, our company is constantly improving. In my spare time, I am into dancing, which brings me great energy! 

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experience

Experience

2 years - 5 years

location

Location

Remote

DEVOPS ENGINEER FOR MACHINE LEARNING