Machine Learning Engineer

7 days ago


Kraków, Czech Republic VirtusLab Full time
  • Readiness to work from the Kraków office in a hybrid model  
  • Hands-on experience with deployment of Python projects
  • Strong experience with writing high quality Python code
  • Experience with developing CI/CD components and a good understanding of the software development lifecycle
  • Experience with developing in the cloud
  • Experience with Azure and AzureML is an advantage
  • Basic knowledge of orchestration tools such as Airflow
  • Basic knowledge of Spark or other distributed data processing tools
  • Ability to dive into the Kubernetes ecosystem as an user
  • Ability to work in a team and taking part in the design process
  • Good command of English (B2 / C1)

Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Moreover, B2B does not have to be the only form of cooperation. Apply and find out

Available projects:

StoreOps

Project Scope
As an ML Engineer in StoreOps, you will dive into projects that streamlining retail operations through the use of analytics and ML, by applying your Python, Spark, Kubernetes, and Cloud (Azure) skills. You will be contributing to a mix of mature and new projects by bringing machine learning pipelines into production, building and maintaining robust Azure infrastructure, as well as fostering a technical culture of the organization.

Responsibilities
- Developing machine learning models and feature engineering pipelines with cooperation with data scientists.
- Working in an Azure cloud environment, developing model training code in AzureML.
- Building and maintaining cloud infrastructure with IaC (infrastructure as code).
- Working with distributed data processing tools such as Spark, to parallelise computation for Machine Learning.
- Diagnosing and resolving technical issues, ensuring availability of high-quality solutions that can be adapted and reused.
- Collaborating closely with different engineering and data science teams, providing advice and technical guidance to streamline daily work.
- Championing best practices in code quality, security, and scalability by leading by example.
-Taking your own, informed decisions moving a business forward.

Tech Stack
Python, PySpark, Airflow, Docker, Kubernetes, Azure (incl. Azure ML), KServe, Feathr, Dask, xgboost, pandas, scikit-learn, numpy, GitHub Actions, Azure DevOps, Terraform, Git @ GitHub

Project Challenges
- Serving machine learning models online based on an online feature store.
- Enhancing the monitoring, reliability, and stability of deployed solutions, including the development of automated testing suites.
- Automating the machine learning model lifecycle to continuously improve the performance on production.
- Collaborating with cross-functional teams enhancing customer experiences through innovative technologies.

Team
5 engineers

,[] Requirements: Python, CI/CD, Docker, Azure, Kubernetes, Machine learning, Spark, MLOps Additionally: Building tech community, Flexible hybrid work model, Home office reimbursement, Language lessons, MyBenefit points, Private healthcare, Stretching, Training Package, Virtusity / in-house training, Free coffee, No dress code, Free snacks, Free beverages, Bike parking, Modern office, Shower, Kitchen, Playroom.

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