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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.
Job Responsibility:
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
Requirements:
5+ years of hands-on machine learning engineering experience
The ability to work in hybrid model from Krakow office is a must (1 day per week)
Hands-on experience in deploying Python projects
Strong experience in writing high-quality Python code
Experience with orchestration tools such as Airflow
Knowledge of Spark or other distributed data processing tools
Experience with Kubernetes ecosystem as a user
Strong experience in Azure and Docker
Ability to work in a team and participate in the design process