Lead Machine Learning Engineer

About the Role

We are looking for a highly skilled Lead - Machine Learning Engineer to lead the design, development, and deployment of large-scale ML solutions that power intelligent business applications. This role bridges data science, engineering, and product — ensuring that ML models move efficiently from prototype to production with scalability, reliability, and performance.

You’ll collaborate with data scientists, software engineers, and product teams to architect and operationalize machine learning systems that deliver measurable business value. The ideal candidate combines deep technical expertise in machine learning infrastructure with strong leadership and mentorship capabilities.

Key Responsibilities

1. Machine Learning System Design & Development

• Lead the end-to-end development of scalable ML systems — from data processing to model training, validation, deployment, and monitoring.
• Design high-performance pipelines for feature engineering, model serving, and real-time inference.
• Build reusable frameworks, SDKs, and components to accelerate ML deployment across teams.

2. MLOps & Automation

3. Leadership & Collaboration

4. Performance Optimization & Innovation

Qualifications

Nice-to-Have