Machine Learning Infrastructure Engineer
1 day ago
Job Overview:
We are seeking a highly skilled Machine Learning Infrastructure Engineer to join our team at TrueFan. This role involves designing, implementing, and maintaining scalable and automated pipelines for deploying deep neural network models.
Key Responsibilities:
- Design and implement efficient model training and deployment pipelines using cloud-based infrastructure (AWS, GCP, or Azure).
- Monitor and manage production models, ensuring high availability, low latency, and smooth performance.
- Automate workflows for data preprocessing, model retraining, and video generation.
- Implement logging, tracking, and monitoring systems to ensure data integrity and visibility into the model lifecycle.
Requirements:
- Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-based machine learning services.
- Expert knowledge of containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation).
- Familiarity with deep learning frameworks (TensorFlow, PyTorch).
- Bachelor's degree in Computer Science or related field.
Salary:$140,000 - $180,000 per year.
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