Senior Staff Machine Learning Engineer

Overview

Senior Staff Machine Learning Engineer responsible for leading the strategic design and development of scalable machine learning infrastructure and systems.

What you'll do

• Architect and lead large-scale ML platforms and services for model training, deployment, and lifecycle management.
• Collaborate with Data Science, Applied Science, and Product to productionize ML models with performance, reliability, and compliance.
• Define and implement MLOps best practices including model versioning, automated retraining, monitoring, and CI/CD workflows.
• Lead technical decisions to evolve ML infrastructure for scalability, security, and maintainability.
• Optimize inference systems for real-time and batch use across cloud and hybrid environments.
• Serve as a technical advisor and mentor senior engineers on architectural decisions and ML infrastructure.

What you'll need

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 12+ years of experience in software or ML engineering with significant time in leadership and architecture roles.
• Proven experience building and scaling ML systems in production environments.
• Deep proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Expertise in distributed systems, cloud platforms (AWS, GCP, Azure), and Kubernetes.
• Strong understanding of MLOps tools, model performance monitoring, and continuous delivery of ML solutions.
• Experience mentoring senior engineers and influencing cross-functional architectural strategies.

Details

• Location: Bangalore HQ.