DevOps Engineer Azure MLOps Specialist

2 tygodni temu

plac Trzech Krzyży Warszawa, Polska ERGO Technology & Services Pełny etat
About Us

ERGO Technology & Services S.A. is a leading provider of innovative IT solutions, leveraging the strengths of ERGO Digital IT and Atena. Our company supports millions of customers worldwide with state-of-the-art technology, fostering innovation and meeting evolving needs.

Job Description

We are seeking a highly skilled DevOps Engineer Azure MLOps Specialist to join our team. As a key member of our MLOps team, you will be responsible for driving end-to-end MLOps capabilities, providing expert skills on MLOps practices, and leveraging standards of software development and testing best practices.

Key Responsibilities
  • Develop and implement MLOps Roadmap for end-to-end MLOps capabilities
  • Provide expert skills on MLOps practices based on existing Azure Cloud stack
  • Leverage standards of software development and testing best practices for MLOps
  • Develop, unit test, deploy, and integrate test capabilities
  • Develop and integrate Dataiku AI Governance Workflows and MR Extensions via Dataiku Plug-in
  • Provide support and automation for ML templating for our Data Scientists
  • Support, monitor, and alert solutions for deployment and test pipelines
  • Estimate complexity and planned effort for development tasks in Azure DevOps Backlog
  • Create and automate CI/CD pipelines in Azure DevOps
  • Present and demonstrate product features within team reviews and for internal Stakeholders
  • Develop and share best practices for ML Engineering tasks with the internal MLOps community
Requirements
  • Fluency in English
  • 4+ years of experience as a Cloud DevOps Engineer or Cloud Engineer
  • Strong customer-oriented mindset
  • Passionate about making things work iteratively and automating + scaling them
  • Deep knowledge of software development and engineering in combination with ML models
  • Experience in development AML, Databricks, Dataiku, and API management
  • Experience in using popular MLOps frameworks like MLFlow
  • Proficiency in object-oriented programming with Python and other languages
  • Practical ability in creating build and release pipelines in Azure DevOps for ML artifacts
  • Experience in supporting real-time-inference scenarios with Azure Machine Learning and AKS
  • Knowledge of tools, methods, and frameworks used by data scientists (like PyTorch, and Tensorflow)
Nice to Have
  • German language skills
  • Experience with implementing enterprise-level compliance and risk management concepts
Perks & BenefitsLet's be healthy

Medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced

Work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working.

Let's be smart

We organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible

Each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun

Company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered

Let's be diverse

Every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit

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