DevOps DevOps DevOps Inżynier

6 dni temu


Gdańsk, Polska Capco Poland Pełny etat
As an  ML Ops Engineer you will be responsible for developing, deploying and maintaining the infrastructure for Machine Learning to support Data Science and Machine Learning Teams. You will focus on automating modeling processes, monitoring models in production environments and managing the full ML lifecycle.
 
This role bridges the gap between data science and IT operations, ensuring seamless integration of machine learning and other data science modules into operational workflows.
Streamlines and automates data science products lifecycle from development to deployment and monitoring.
Tests, refactors, optimizes, and packages the code developed by data scientists. TECH STACK: Python, ML libraries (Numpy, pandas, scikit-learn, keras / tensorflow / pytorch), ML Flow, Databricks, Linux (RedHat distribution), GIT, Docker, Podman, Azure Devops PostgreSQL, Airflow, Pyspark, Spark, kdb+/q
Proficient with main Python analytics and ML libraries (numpy, pandas, scikit-learn, keras / tensorflow / pytorch)
~ Experience with Linux (especially RedHat distribution) and version control (git)
~ Experience with containerization technologies (docker/podman)
~ Familiarity with DevOps pipelines (especially Azure DevOps Services)
~ Experience in data modelling and database management. Employment contract and/or Business to Business - whichever you prefer
Possibility to work remotely
Speaking English on daily basis, mainly in contact with foreign stakeholders and peers
Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)
Szlachetna Paczka
Being part of the core squad focused on the growth of the Polish business unit
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A work culture focused on innovation and creating lasting value for our clients and employees
 
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