Day to day ensure the customers’ models are running as intended and troubleshoot issues that arise.
Support strategic projects, by working side by side with the data scientist from design to delivery processes around the modeling project Cloud Service: Experience with Azure Kubernetes Service (AKS). Experience with Docker, Docker Swarm, and Micro-Services.
Scripting and Coding (comfortable working with Haskell, Scala, Shell, Python, Java, JavaScript, and Spark. Familiarity with C, all sounds like a big plus to us!)
Data Processing: Good understanding of data processing pipelines.
Databases: Experience in both SQL and NoSQL databases, (MongoDB, Redis and snowflake preferred).
Version Control and DevOps: Experience with git workflows and pull requests. CI/CD experience is a plus.
Problem Solving: Ability to perform root cause analysis for production issues and provide solutions.
Machine learning and modeling: level of understanding to work with data Scientist and their requests
requirements-expected :
Experience with AI and machine learning Python packages such as Scikit-learn, Tensor Flow, Keras.
Strong Java skills.
Proficient in Python environments and coding with data frames, and browser automation.
Fluent speaking English; ability to communicate clearly with internal and external customers and your boss :)
Supports ad-hoc analytical services requests.
Strong orientation towards servicing customers.
offered :
Direct impact on our product and three growth paths: Architect, Principal Software Engineer, or Manager.
Remote or hybrid work from our Gdansk office.
Competitive benefits, including tax-deductible costs, choice of MacBook Pro or Windows PC, medical and life insurance, meal allowance, and a Multisport card.
