Python Engineer with MLOps (Senior)

Analityka rynku

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Opis

VirtusLab is a leading European software consulting and engineering company. Our mission is to craft clean code and practical solutions with precision and purpose. We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering professionals to make a substantial impact in the software industry. About the role An opportunity to drive business innovation through robust, production-ready machine learning pipelines. The main focus involves deploying and maintaining ML workflows across Azure cloud infrastructure and on-prem ETL clusters. The role centers on technical collaboration with Data Scientists to build AI-driven solutions and refine internal engineering standards. Primarily remote-based engagement with occasional on-site collaboration (approx. once a month) . Python: Advanced Cloud (prefered Azure): Advanced IaC: Regular GitHub Actions: Advanced Pyspark: Regular Airflow: Regular Experience with observability: Nice to have MLOps: Proven ability to productionize models and set up monitoring: Nice to have Productionize models and set up monitoring: Regular Kubernetes: Nice to have English: Advanced View available projects Project Forecasting & Commodities Project Scope The ML Engineer / Forecasting & Commodities engagement covers key initiatives supporting critical decision-making processes through the application of Python, PySpark, Kubernetes, and Azure Cloud technology stacks. The scope involves operating within a highly mature

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