Senior ML Operations Engineer

1 day ago


San Francisco, California, United States Unreal Gigs Full time
Job Title: Senior ML Operations Engineer

At Unreal Gigs, we're seeking a highly skilled Senior ML Operations Engineer to join our team. As a key member of our MLOps team, you'll be responsible for designing and implementing scalable and reliable infrastructure for deploying and serving machine learning models.

Key Responsibilities:

  • Design and implement scalable and reliable infrastructure for deploying and serving machine learning models.
  • Develop automated pipelines for deploying machine learning models into production environments.
  • Implement monitoring and alerting systems to track model performance and data drift.
  • Establish version control and management processes for machine learning models.
  • Implement CI/CD pipelines for automating model training, testing, and deployment.
  • Optimize the performance and scalability of machine learning infrastructure.
  • Ensure machine learning systems comply with security and privacy standards.
  • Document MLOps processes and best practices.
  • Collaborate with cross-functional teams to streamline the machine learning lifecycle.

Requirements:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 5+ years of experience in software engineering, DevOps, or related roles.
  • Strong understanding of machine learning concepts and techniques.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with containerization technologies such as Docker and orchestration tools such as Kubernetes.
  • Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or MLflow.
  • Experience with CI/CD pipelines, version control systems, and automation tools.

Benefits:

  • Competitive salary and comprehensive benefits package.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities.
  • State-of-the-art technology environment.
  • Vibrant and inclusive company culture.


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