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RARR Technologies
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MLOps Engineer
RARR Technologies
posted 23d ago
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Flexible timing
Key skills for the job
Job Description
- Collaborate with data scientists to operationalize machine learning models and ensure their smooth deployment to production environments.
- Develop and maintain pipelines for the entire machine learning lifecycle, from data ingestion and training to model deployment and monitoring.
- Automate the deployment process for machine learning models using CI/CD practices.
- Implement and maintain model versioning, monitoring, and management tools to ensure reliability, accuracy, and performance.
- Design and optimize model training and inference infrastructure, ensuring scalability and performance.
- Integrate and deploy ML systems into cloud platforms such as AWS, Google Cloud, or Azure.
- Monitor and troubleshoot deployed models to ensure performance and mitigate issues.
- Collaborate with cross-functional teams to gather requirements and define best practices for model deployment.
- Stay current with industry trends, new tools, and technologies to improve model deployment processes.
- Work with version control systems like Git, and containerization technologies such as Docker and Kubernetes for effective model orchestration.
Employment Type: Full Time, Permanent
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