Senior Staff Machine Learning Engineer

About the role

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology.

What you'll do

• Owning the architecture of large-scale cloud ML systems end to end — data ingestion and feature pipelines, training infrastructure, model serving
• Design, develop and deploy production ready scalable cloud solutions that utilize Gen-AI, agentic AI, DNN, Traditional ML models, data-driven rules and ETL pipelines
• Architecting distributed, fault-tolerant services and data platforms that operate reliably at high throughput, with clear SLAs, observability and cost controls
• Applying advanced statistical methods, machine learning and deep learning techniques to uncover trends, patterns, and anomalies in large-scale datasets
• Creating robust frameworks and tools to automate and enhance data mining, labeling, model training, and validation processes for internal ML/DL initiatives

What you need

• 8–14 yrs of experience
• Machine learning
• SQL
• ETL
• LLMs
• Statistics
• NoSQL
• B.Tech or B.E. or M.Tech or PhD

Good to have

• Python
• AWS
• Data structures
• C++
• Java
• Rust