Agentic ai pattern implementation and orchestration
Netradyne is revolutionizing the transportation ecosystem by harnessing Computer Vision and Edge Computing to enhance fleet safety
Job Summary
Netradyne is revolutionizing the transportation ecosystem by harnessing Computer Vision and Edge Computing to enhance fleet safety.
The role involves taking senior technical ownership of machine learning platforms that underpin AI-powered fleet analytics across cloud and edge environments.
You will collaborate closely with cross-functional teams to integrate advanced AI technologies, including on-device edge intelligence and natural-language-driven capabilities.
Matching Summary
Netradyne is revolutionizing the transportation ecosystem by harnessing Computer Vision and Edge Computing to enhance fleet safety.
Skills & Requirements
Must-have
Generative AI system design and RAG architectures
Real-time data streaming with Apache Kafka
Agentic AI pattern implementation and orchestration
AWS cloud infrastructure and containerization
MLOps best practices and workflow orchestration
Nice-to-have
Experience with rapid prototyping tools like Streamlit
Strong background in statistics and probability theory
Familiarity with vector search techniques
Cross-functional collaboration with product teams
Key Requirements
5-8 years of industry experience in data or ML engineering
B.Tech, M.Tech, or PhD in Computer Science or related field
Proficiency in Python and SQL with strong algorithmic fundamentals