Join our team to drive business innovation with production-ready machine learning pipelines. You will play a key role in deploying and maintaining ML workflows, leveraging Azure for cloud computing and on-prem clusters for ETLs. Collaborating closely with Data Scientists, you will contribute to AI-powered projects while shaping the organization’s technical culture.
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, as well as fostering a technical culture of the organization.
Developing machine learning models and feature engineering pipelines with cooperation with data scientists.
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.
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.
requirements-expected :
The ability to work in hybrid model from Krakow office is a must (3 days per week).
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 with orchestration tools such as Airflow.
Knowledge of Spark or other distributed data processing tools.
Experience with Kubernetes ecosystem as a user.
Experience with IaC, particularly Terraform, is a plus.
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 insurers offer allows you to have free health advice, treatments, diagnostic tests, etc., in more than 1,500 clinics operating all over the country.
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
