- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.
- Collaborate with data scientists, data engineers, and domain experts to understand model requirements and optimize deployment processes.
- Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability.
- Implement best practices for version control, model reproducibility and governance.
- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
- Troubleshoot and resolve issues related to model deployment and performance.
- Ensure compliance with security and data privacy standards in all MLOps activities.
- Keep up-to-date with the latest MLOps tools, technologies and trends.
- Provide support and guidance to other team members on MLOps practices.
- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
- Knowledge of CI/CD pipelines, automation tools and version control systems like Git.
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Excellent communication and presentation skills.
- At least 3 years of working experience in an MLOps-related role.
- Proven and successful experience in deploying, monitoring, and maintaining machine learning models, from conceptual design to implementation.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or any other related quantitative field.
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Machine Learning Operations Engineer - Taguig - SN Aboitiz Power Group
Paglalarawan
The Responsibilities associated with this position include:
Review the deployment, monitoring, and maintenance aspects of machine learning related initiatives.
Requirements
Skills:
Experience:
Education:
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Service Desk Operations Engineer
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Service Desk Operations Engineer
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