Integration Engineer

Job Summary

A company is looking for an Integration Engineer to join their technical team and translate experimental ML research into robust, scalable systems.

Key Responsibilities

• Translate experimental research code into robust, scalable production systems
• Design and maintain ML training, fine-tuning, and deployment pipelines
• Optimize model inference for performance and reliability in distributed/cloud environments

Required Qualifications

• BS/MS/PhD in Computer Science, Electrical Engineering, or related field
• 5+ years of professional experience in software engineering, focused on ML systems
• Strong Python skills and experience with production-level codebases
• Deep expertise with ML frameworks (e.g. PyTorch, TensorFlow) and deployment pipelines
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)