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Senior MLOps
Data

Senior MLOps

Wrocław
Type of work
Full-time
Experience
Senior
Employment Type
B2B, Permanent
Operating mode
Remote
Xebia

Xebia

Xebia to globalna grupa firm tworzona przez ponad 5000 ekspertów. Od 20 lat doradzamy i tworzymy rozwiązania IT szyte na miarę dla Klientów z całego świata. Łączy nas chęć ciągłego rozwoju. Dlatego podejmujemy każde, nawet najtrudniejsze wyzwania.

Tech stack

    CI/CD

    advanced

    Python

    advanced

    MLOps

    advanced

    Cloud

    regular

Job description

Online interview


🟣 You will be:

  • working with data scientists and analysts to create and deploy new product features on the e-commerce website, in-store portals, and clients’ mobile apps,
  • establishing scalable, efficient, automated processes for data analysis, model development, validation, and implementation,
  • writing efficient and scalable software to ship products in an iterative, continual-release environment,
  • contributing to and promoting good software engineering practices across the team and building cloud-native software for ML pipelines,
  • contributing to and reusing community best practices.



🟣 Your profile:

  • willingness to work daily 9AM - 5PM CET, once in a while until 6-7PM,
  • university degree or advanced degree in engineering, computer science, mathematics, or a related field,
  • 10+ years of experience as a data engineer or software developer,
  • 3+ years of experience developing and deploying machine learning systems into production,
  • proficiency in Python,
  • experience with at least one Cloud provider (AWS, GCP, Azure) and understanding of serverless code development,
  • working experience with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX,
  • relevant working experience with Docker, Kubernetes and GitHub Actions,
  • knowledge of data pipeline and workflow management tools,
  • expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation,
  • experience with Machine and Deep Learning libraries such as Scikit-learn, XGBoost, MXNet, TensorFlow or PyTorch,
  • exposure to GenAI and solid understanding of multimodal AI via HuggingFace, Llama, VertexAI, AWS Bedrock or GPT,
  • very good verbal and written communication skills in English.

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



🟣 Nice to have:

  • experience working with VertexAI, BigQuery and Dataproc.



🟣 Recruitment Process:

CV review – HR call – InterviewClient Interview – Decision



🎁 Benefits 🎁


✍ Development:

  • development budgets of up to 6,800 PLN,
  • we fund certifications e.g.: AWS, Azure,
  • access to Udemy, O'Reilly (formerly Safari Books Online) and more,
  • events and technology conferences,
  • technology Guilds,
  • internal training,
  • Xebia Upskill.


🩺 We take care of your health:

  • private medical healthcare,
  • multiSport card - we subsidise a MultiSport card,
  • mental Health Support.


🤸‍♂️ We are flexible:

  • B2B or employment contract,
  • contract for an indefinite period.