Machine Learning Operations Engineer

7 days ago

Taguig, National Capital Region, Philippines SN Aboitiz Power Group Full time

The Responsibilities associated with this position include:

Review the deployment, monitoring, and maintenance aspects of machine learning related initiatives.

  • 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.

Requirements


Skills:

  • 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.


Experience:

  • 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.


Education:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or any other related quantitative field.

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