The role involves collaborating with teams to translate business requirements into technical specifications and ML pipelines for end-to-end solution delivery
Job Summary
The role involves collaborating with teams to translate business requirements into technical specifications and ML pipelines for end-to-end solution delivery.
Candidates will architect, implement, and optimize AI models specifically for edge computing platforms like NVIDIA Jetson and Qualcomm Snapdragon to ensure high throughput and low latency.
This position requires mentoring a team of 2-5 members while defining best practices for the AI model lifecycle and driving continuous improvement in system design.
Matching Summary
The role involves collaborating with teams to translate business requirements into technical specifications and ML pipelines for end-to-end solution delivery.
Skills & Requirements
Must-have
Deep Learning Frameworks TensorFlow PyTorch
Computer Vision Object Detection Segmentation
Edge Computing NVIDIA Jetson Qualcomm Snapdragon
Python C++ Programming Expertise
MLOps CI/CD Docker Kubernetes
Nice-to-have
AWS Sagemaker Azure ML Cloud Services
NVIDIA RTX DGX Platform Familiarity
Rust Go Programming Languages
Academic Publications in Computer Vision
Cross-functional Team Collaboration Skills
Key Requirements
B.Tech/M.Tech or Ph.D. in Computer Science or related field
8-12 years total work experience required
3-5 years specific experience in machine learning and deep learning
Proven track record of deploying ML systems from concept to production