Lead Software Engineer - Machine Learning

📋 Description

• Bridge Research and Production: translate data science into prod-ready code.
• Scale to Millions: ML APIs and data pipelines for high load.
• Architect from Scratch: design high-performance ML solutions and adoption.
• End-to-End Pipeline Architecture: build pipelines from data prep to deployment.
• High-Performance Service Delivery: scalable ML API services with low latency.
• Operational Intelligence: monitoring for model health and efficiency.

🎯 Requirements

• Production ML Engineering: translate models into production software.
• MLOps Mastery: lifecycle management from experiment to live.
• Distributed Pipeline & API Design: scalable data pipelines and low-latency services.
• System Telemetry & Monitoring: frameworks for metrics & health checks.
• Technical Project Leadership: rapid prototyping & cross-functional alignment.
• Experience: 6–9 years in software engineering and ML development.

🎁 Benefits

• Equal opportunity and diverse, inclusive environment.
• Fresh vision and real impact — come build it with us.