Senior Machine Learning Inference Engineer

Optimize machine learning inference with GPU performance tuning while working remotely from Canada or the UK in a full-time position. Build dependable serving systems for high request volumes.

Raydar recruits for its software company client, seeking a senior engineer to move trained models from research into production. The work combines server-side software, inference optimization frameworks, systems programming, and distributed serving. You will improve model performance and operate services across GPUs and nodes.

Key Responsibilities:

• Optimize model serving latency and throughput
• Containerize models for stable production deployment
• Profile and tune GPU-based code
• Design distributed serving across GPUs and nodes
• Apply quantization, batching, and caching methods

Requirements:

• Senior-level software or inference engineering experience
• Production experience with server-side or learning-based software
• Machine learning inference optimization framework experience
• C++, CUDA, Rust, or optimized Python proficiency
• Distributed systems and container orchestration familiarity

Use inference optimization, GPU programming, and distributed systems expertise to deliver reliable machine learning production serving.