Machine Learning Engineer
3 tygodni temu
technologies-expected : Python Apache Airflow Apache Spark CI/CD Azure Cosmos DB Azure ML Docker Kubernetes Terraform technologies-optional : ML KServe Feathr about-project : 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. 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 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. requirements-expected : The ability to work in hybrid model from Krakow office is a must. Hands-on experience in deploying Python projects. Strong experience in writing high-quality Python code. Experience in developing CI/CD components and a good understanding of the SDLC. Experience in cloud development, especially in Azure. Experience with orchestration tools such as Airflow. Knowledge of Spark or other distributed data processing tools. Ability to navigate the Kubernetes ecosystem as a user. Ability to work in a team and participate in the design process. Good command of English (B2/C1). offered : Flexible hybrid work model - you decide where & when to start the work. You can work remotely or join us in one of our modern offices (Krakow, Kielce, Wroclaw), always located in the city centers. Just choose what suits you best Language lessons - we refund up to 500 PLN (per quarter) for learning all languages you would like to take What's more, we refund up to 1 000 PLN (per quarter) for learning the English language. Virtusity – our training division - we really value the personal growth of our #VLteam. That's why we have a rich offer of internal courses, workshops, etc. (technical, as well as soft skills training) conducted by our employees. Training Package - use our training budget and 24 paid work hours for your development. You can choose the training from our Virtusity portfolio or external conferences, courses, workshops, etc. Home office reimbursement - you can rent all the necessary equipment from our offices, but you can also get up to 800 PLN financial support to set up your WFH. Multisport card or MyBenefit points - do you like sports and want free unlimited admission to sports facilities in your city? Or maybe you prefer the cinema, SPA in the mountains, delicious dinner, or Allegro shopping? At VirtusLab, you decide whether you choose a sports card or vouchers for countless attractions. Private healthcare - our insurer's offer allows you to have free health advice, treatments, diagnostic tests, etc., in more than 1,500 clinics operating all over the country. Stretching - feeling tense or tired? Take a break from work and join our online stretching sessions. Building tech community - we run 9 meetup groups in Kraków, Kielce, and Rzeszów and support many other local initiatives. We also contribute to numerous open-source projects (world-famous solutions and create our own ones). Check out also Sphere.it - our unique platform with tech videos and online events. benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses remote work opportunities integration events
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