Solution Engineer (Level 1) Shaju George Samuel AI/ML
Noida, India
Arrow Electronics
Work responsibilities
- Work in a team of 2 to 3 members in developing and deploying AI model pipelines.
- Create innovative AI models or modify existing AI models to provide optimum throughput and accuracy on edge devices
- Deploy and benchmark the models on edge devices like Nvidia Jetson Nano, Jetson Xavier, Snapdragon 835 etc.
- To work on platforms like Snapdragon Neural processing Engine (SNPE), FastCV, Halide, Deep stream etc. as per requirement.
Principal Accountabilities
* Provide solution to clients to manage end to end solution deliverables (requirement, specifications, and designs).
* Partner with team to translate business requirement to software requirement, functional specifications and system design specification specifically in the form of use cases and ensuring usability of the solution
* Analyze user requirements and issues and define the best fit solution, while maintaining the integrity of existing application
* Provide technical solutions for RFQ
Job Complexity
● Requires in-depth knowledge and experience
● Solves complex problems; takes a new perspective using existing solutions
● Works independently; receives minimal guidance
● Acts as a resource for colleagues with less experience
● Represents the level at which career may stabilize for many years or even until retirement
● Contributes to process improvements
● Typically resolves problems using existing solutions
● Provides informal guidance to junior staff
● Works with minimal guidance
Experience / Education
Typically requires 5–7 years of related experience with a 4 year degree; or 3 years and an advanced degree; or equivalent work experience.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Machine Learning Nvidia Jetson Pipelines
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