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Real-Time Machine Learning Engineer

2 months ago

Irving, Texas, United States InfoVision Inc. Full time

Job Title: Real-Time Machine Learning Engineer

Location: Remote or On-Site

Duration: Long-term

Job Summary:

We are seeking a highly skilled Real-Time Machine Learning Engineer to join our team at InfoVision Inc. As a key member of our engineering team, you will be responsible for designing, developing, and deploying real-time machine learning models in cloud-based environments.

Key Responsibilities:

  • Design and Develop Real-Time ML Models: Utilize your expertise in AI/ML engineering to design and develop real-time machine learning models that can be deployed in large-scale cloud-based environments.
  • Cloud-Based RTML Model Serving: Develop and maintain large-scale cloud-based RTML model serving systems, ensuring high performance, scalability, and reliability.
  • Large Application Development: Collaborate with cross-functional teams to develop large-scale applications in cloud environments, including AWS, GCP, and On-Prem clusters.
  • Kubernetes Architecture: Design and deploy large applications in production Kubernetes clusters, configure Kubernetes properly, and troubleshoot issues when they arise.
  • Performance Monitoring: Implement real-time system stats collection and performance monitoring methods to ensure optimal system performance.
  • Feature Engineering: Apply basic understanding of real-time feature engineering methodology and practices to improve model performance.

Requirements:

  • Education: Bachelor's degree or above in Computer Science/Engineering or related areas.
  • Experience: Four or more years of work experience in computer software development related jobs, with at least two years in AI/ML engineering areas.
  • Skills: Strong expertise in RTML model serving, large-scale cloud-based RT framework development, programming languages (Python, Java), and Kubernetes architecture.