Arrow Electronics is seeking a Solution Engineer II (AI/ML Lead) to oversee the development and deployment of machine learning solutions, with a focus on mentoring a team and integrating advanced AI technologies. The role requires extensive experience in machine learning and system architecture, particularly with edge computing platforms
Job Summary
Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines.
Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement.
Architect, implement, and optimize AI models for edge computing platforms ensuring high throughput, accuracy and low latency.
Matching Summary
Match Score: 85
Arrow Electronics is seeking a Solution Engineer II (AI/ML Lead) to oversee the development and deployment of machine learning solutions, with a focus on mentoring a team and integrating advanced AI technologies. The role requires extensive experience in machine learning and system architecture, particularly with edge computing platforms.
Skills & Requirements
Must-have
Machine learning pipelines
End-to-end solution delivery
AI/ML technologies evaluation
Edge computing optimization
NVIDIA Jetson, Qualcomm Snapdragon platforms
Deep Learning Frameworks: TensorFlow, PyTorch
Computer Vision & Perception
ML System Architecture
Hardware Acceleration & Optimization
Edge & Embedded Platforms
Python, C++ programming
Nice-to-have
Mentorship of junior engineers
Client RFQ response
Cross-functional partnership
Cloud AI Services: AWS Sagemaker, Azure ML
NVIDIA RTX and DGX platforms
Key Requirements
8–12 years of equivalent work experience
3–5 years of experience in machine learning, deep learning, and computer vision
Proven track record of designing and deploying ML-based systems
Academic publications in computer vision research
B.Tech/M.Tech or Ph.D. in Computer Science, Electronics, or related engineering domain