Lead Software Engineer - Machine Learning

📋 Description

• Bridge Research and Production: translate data science research into product-ready code.
• Scale to millions: deploy ML APIs and data pipelines for high throughput.
• Architect from Scratch: design high-performance ML solutions and drive adoption.
• ML Algorithm Implementation: convert models into production-grade code.
• End-to-End Pipeline Architecture: build data prep, model generation, deployment, validation.
• High-Performance Service Delivery: create scalable ML API services with low latency.

🎯 Requirements

• Production ML Engineering: translate models to production software.
• MLOps Mastery: lifecycle management from experiment to live models.
• Distributed Pipeline & API Design: scalable data pipelines and low-latency services.
• System Telemetry & Monitoring: set up metrics for health and performance.
• Technical Project Leadership: rapid prototyping and cross-functional alignment.
• POC Execution & Lifecycle Ownership: lead proofs of concept and feature delivery end-to-end.

🎁 Benefits

• Competitive compensation in INR, monthly terms.
• Global team and impact-driven work at Freshworks.