MLOps ENGINEER

2 weeks ago


Malvern, United States Veridic Solutions Full time

Job Description:

We are seeking a skilled and motivated Machine Learning Operations (MLOps) Engineer to join our team. As an MLOps Engineer, you will work closely with data scientists, machine learning engineers, and software developers to deploy, monitor, and optimize machine learning models in production environments. Your role will be crucial in bridging the gap between machine learning and operations, ensuring that models are scalable, reliable, and integrated seamlessly into our systems.

Key Responsibilities:

  • Model Deployment and Integration:
  • Design, develop, and manage scalable machine learning model deployment pipelines.
  • Collaborate with data scientists and software engineers to deploy machine learning models in production environments (on-premise and cloud).
  • Automate the deployment process using CI/CD pipelines, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes).
  • Monitoring and Performance Optimization:
  • Monitor machine learning models in production to ensure performance, reliability, and accuracy.
  • Implement monitoring and alerting systems for model performance metrics and drift detection.
  • Optimize model performance by identifying bottlenecks and improving resource allocation.
  • Infrastructure Management:
  • Set up and manage the infrastructure required for machine learning workloads, including cloud services (e.g., AWS, GCP, Azure), databases, and data pipelines.
  • Ensure scalability and security of the infrastructure supporting machine learning models.
  • Manage and optimize the cost of cloud infrastructure used for machine learning tasks.

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