Location: United States, United States
Job Summary:
Job Duties:
- Lead design and development of ML models for anomaly detection.
- Architect scalable ML solutions for real-time failure prediction.
- Optimize and fine-tune models for performance and reliability.
- Mentor junior engineers; collaborate with data scientists.
- Stay updated on ML and AI advancements.
- Work with DevOps to deploy ML models.
- Document processes, architectures, and report to leadership.
Required Skills (Keywords):
- Machine Learning
- Python
- Deep Learning (PyTorch, TensorFlow)
- Time-series Data Analysis
- Cloud Services (AWS, Azure, Oracle Cloud)
- Containerization (Docker, Kubernetes)
- Anomaly Detection
- Problem-solving
- Leadership
Required Experiences (Topics):
- 7-10 years in machine learning engineering
- Advanced degree in Computer Science, Machine Learning, or related field
- Experience in anomaly detection and model troubleshooting
Job URLs: