Aktualne oferty pracy związane z MLOps Engineer - Warszawa - Square One Resources Sp. z o.o.
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Senior MLOps Engineer
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Senior MLOps Engineer
1 tydzień temu
Warszawa, Mazovia, Polska Grupa FIEGE Polska Pełny etattechnologies-expected : Microsoft Azure CI/CD Docker TensorFlow Python Kubernetes PyTorch about-project : Our growing Data & AI team is looking for an experienced MLOps Engineer. Our mission is to optimize processes in our warehouse locations using AI, rapidly implement ideas, and create customer value. You will be responsible for the...
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Senior MLOps with AWS
4 tygodni temu
Warszawa, Mazovia, Polska Square One Resources Sp. z o.o. Pełny etatJoin us as an MLOps Engineer to enhance Data Science operations and drive automation. You'll implement MLOps tools, improve processes, and provide training to the team.Senior MLOps with AWSTwój zakres obowiązkówResearch and integrate MLOps tools and frameworks. Improve MLOps maturity across projects. ...
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Senior MLOps with AWS
4 tygodni temu
Warszawa, Mazovia, Polska SQUARE ONE RESOURCES sp. z o.o. Pełny etattechnologies-expected :- AWS- Python- Bashabout-project :- Join us as an MLOps Engineer to enhance Data Science operations and drive automation. You'll implement MLOps tools, improve processes, and provide training to the team.responsibilities :- Research and integrate MLOps tools and frameworks.- Improve MLOps maturity across projects.- Promote agile,...
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3 dni temu
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MLOps Engineer
4 tygodni temu
To design, implement, and manage machine learning infrastructure that supports scalable and reliable deployment of machine learning models.
MLOps Engineer
Your responsibilities
- Design and build CI/CD pipelines for machine learning models.
- Manage and optimize ML model deployment and performance.
- Automate and monitor model retraining processes.
- Ensure data quality and compliance with data governance policies.
- Collaborate with data scientists to integrate models into production environments.
- Develop and maintain infrastructure for data ingestion and feature engineering.
- Troubleshoot and resolve issues related to ML infrastructure and platforms.
Our requirements
- Bachelor's degree in Computer Science, Data Science, or related field.
- Proficiency in programming languages such as Python and/or Java.
- Experience with machine learning frameworks and libraries.
- Knowledge of containerization technologies like Docker and Kubernetes.
- Familiarity with version control systems such as Git.
- Strong problem-solving and troubleshooting skills.
- Ability to work as part of a team and communicate effectively.
- Experience with cloud platforms (e.g., AWS, GCP, Azure).
- Knowledge of MLOps principles and best practices.
- Familiarity with infrastructure-as-code tools (e.g., Terraform).
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana).
- Understanding of data engineering principles and tools.
- Domain knowledge in relevant industry applications.
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