Link Group

MLOPS

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

SeniorHybryda·WarszawaFull-time·Umowa o pracę

#450931·Dodano miesiąc temu·2

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Machine learning PythonMLOpsMLflow KubeflowCDDocker Kubernetes OpenShift Jenkins GitLab CIArgo

Firma i stanowisko

Link Group is recruiting for a role focused on MLOps and machine learning projects, collaborating closely with ML Experts and Data Scientists to build prototypes and production models in an interdisciplinary environment.

Wymagania

Minimum 3 years of commercial experience in Machine Learning/DevOps or MLOps.
Strong programming skills in Python (at least 3 years, preferably in ML projects).
Practical knowledge of ML infrastructure design for model deployments (data flow management, scalability, model lifecycle).
Experience managing self-hosted MLOps solutions such as MLflow or Kubeflow.
Proficiency with containerization and deployment automation tools including Docker, Kubernetes, OpenShift/OKD4, Jenkins, GitLab CI, and Argo CD.
Experience working with large datasets and Natural Language Processing (NLP) solutions.
Ability to identify user needs and translate them into practical applications of advanced analytics and artificial intelligence.

Nice to have:

Solid foundational knowledge in ML domain and eagerness to grow in MLOps area.

Obowiązki

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

Benefity

Collaboration within an interdisciplinary team including ML Experts and Data Scientists.
Comprehensive support integrating into projects complemented by specialists bridging DevOps and MLOps.

Link Group

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