Informacje o stanowisku

technologies-expected :

• Python
• Java
• Git
• Docker
• Kubernetes

• AWS
• Google Cloud Platform
• Microsoft Azure
• Terraform
• Prometheus
• Grafana

• To design, implement, and manage machine learning infrastructure that supports scalable and reliable deployment of machine learning models.

• 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.

• Bachelors 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.

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