Link Group

MLOps

14k - 20k PLN14 000 - 20 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

MidHybryda·WarszawaFull-time·Umowa o pracę

#452557·Dodano miesiąc temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Machine Learning DevOpsMLOpsJenkins GitLab Kubernetes

Podsumowanie oferty

As an MLOps specialist, you will develop and configure the MLOps tool ecosystem, automate CI/CD pipelines and machine learning model lifecycle, and maintain a Python codebase. You will manage container orchestration platforms and standardize production deployment processes. The role includes optimizing production environments and ensuring AI/ML system security and compliance.

Wymagania

Minimum 3 years of commercial experience in Machine Learning, DevOps, or MLOps.
Strong programming skills in Python with at least 3 years of practical experience, preferably in ML projects.
Practical knowledge in designing ML infrastructure architectures, data flow management, scalability, and model lifecycle.
Experience managing self-hosted MLOps solutions such as MLflow, Kubeflow, or similar.
Proficiency with containerization tools (Docker), container platforms (Kubernetes, OpenShift/OKD4), and deployment automation tools (Jenkins, GitLab CI, Argo CD).
Experience working with large datasets and natural language processing (NLP) solutions.
Business-oriented approach to identify user needs and translate them into practical AI and advanced analytics applications.

Obowiązki

Develop and configure the MLOps tool ecosystem, focusing on MLflow.
Automate CI/CD pipelines and machine learning model lifecycle using Jenkins and MLflow.
Maintain, refactor, and extend production Python codebase.
Manage container orchestration platforms (OpenShift, OKD4) and standardize model deployment processes.
Diagnose, optimize, and troubleshoot production environments for ML/AI performance.
Implement security standards, governance, and ensure regulatory compliance for AI/ML systems.
Collaborate closely with Data Scientists, ML Engineers, and Analysts to transform prototypes into production services.
Provide analytical and technical support for new projects and create consistent technical and process documentation.

Benefity

Full support and collaboration with specialists in DevOps and MLOps.
Opportunity to work in an interdisciplinary team with ML Experts and Data Scientists.
Development and growth in the ML and MLOps domain.

Inne informacje

Treść obowiązku informacyjnego z art. 13 RODO dla kandydatów biorących udział w rekrutacji. Administrator danych to Link Group Sp. z o.o. z siedzibą w Warszawie. Dane przetwarzane są w celu przeprowadzenia rekrutacji i mogą być przekazane podmiotom wspierającym proces rekrutacji oraz poza Europejski Obszar Gospodarczy na podstawie prawnej przewidzianej w RODO. Kandydat ma prawo dostępu, poprawiania, usunięcia danych oraz wniesienia skargi do organu nadzorczego.

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