🛠 Tech Stack

💼 About This Role

You'll design and build highly scalable ML model serving infrastructure at a leader in identity verification. Your work will directly improve model deployment pipelines and inference optimization. You'll collaborate with cross-functional teams to implement cost-efficient, enterprise-scale solutions.

🎯 What You'll Do

• Upgrade ML asset management systems for developer experience and governance
• Build and optimize model serving infrastructure for inference latency and cost
• Architect efficient inference pipelines balancing latency, throughput, and cost
• Collaborate in cross-functional, distributed team for continuous improvement

📋 Requirements

• 5+ years experience in Python software engineering
• Experience with MLFlow, Weights & Biases, or equivalent
• Experience with PyTorch and ML frameworks
• Experience optimizing ML models with AWS Neuron, ONNX, TensorRT

✨ Nice to Have

• Experience with model compilation and quantization
• Performance profiling and benchmarking ML inference systems
• Experience in regulated industries with compliance requirements

🎁 Benefits & Perks

• 🌍 Remote work flexibility
• 💡 Innovation-driven culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min

[email protected]