Machine Learning Engineer (Regular)

Join us to drive business innovation with production-grade ML pipelines. Become a key member of our team as you dive into Big Data, utilise Azure for cloud computing, and deploy solutions on edge devices. Collaborate with Data Scientists on impactful AI-powered projects.

Our mentioned projects are the tip of the iceberg – expect a landscape of more intriguing and diverse challenges ahead.

Forecasting & Commodities

Project Scope

As an ML Engineer in Forecasting and Commodities, you will be involved in projects that support critical decision making processes, by applying your Python, PySpark, Kubernetes and Cloud (Azure) skills. You will be working in a technically mature ecosystem, implementing new features and covering new use-cases. Part of your responsibilities will be design and implementation of a data science innovation framework, as well making contributions to an overall engineering best practises of the organization.

Responsibilities

- Developing libraries, tools, and frameworks that standardise and accelerate development and deployment of machine learning models.

- 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), pandas, scikit-learn, numpy, GitHub Actions, Azure DevOps, Terraform, Git @ GitHub

Project Challenges

- Building a system that provides accurate and up-to-date business forecasts, by providing a set of tools that can be easily leveraged by data scientists and analysts.

- Streamlining the process of onboarding, deployment and patching new ML pipelines.

- Collaborating with cross-functional teams enhancing customer experiences through innovative technologies.

- Employing DevOps practises for reproducible patterns in multiple business domains.

Team

5 Engineers

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

What we expect in general

• 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)

Seems lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements. What matter the most is your passion and willingness to develop. Apply and find out!

What's on offer?

• 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.