Technologies - Principal AI/ML Field Applications Engineer
6 days ago
About the job :
Description :
Job Title : Principal AI/ML Field Applications Engineer
Job Location : Bangalore, India (This position requires a full-time, on-site presence in our Bangalore, India office)
Job Description :
Key Responsibilities :
- Engage with India customers and Partners for enabling them to design Physical AI solutions developed with platform.
- Guide and support in reviewing existing architecture, proposing alternatives, creating minimum viable solution quickly for demonstration and then scale up to create complete solution.
- Responsible for selection of various solution components such as Cameras, lighting, SW solution from third party and creating integrated solution meeting customer requirements.
- Contribute to SoW for customer projects on need basis.
- Work with other AEs and engineering team for Product evaluation, solution development and deployment, and solution porting. This includes AI Models selection, performance evaluation, creating end-to-end applications, debugging and deployment.
- Responsible for technical deep dive training customers and Partners on SDK and Solutions.
- Study market vertical trends and create compelling demos/solutions for relevant markets such as Drones/UAV, Robotics, Conversation AI etc.
- Represent in various industry events/conferences, roadshows.
- Keep informed of emerging trends in Embedded Edge/Physical AI markets and ML needs, mapping them to MLSoC.
- Gather and relay customer feedback to Product Management for product improvements.
- Support Sales in expanding existing accounts, identifying new customers, and defending design wins.
- Track customer interactions, ensuring follow-ups and effective communication.
- Conduct competitive analysis through customer and industry insights.
Must Have :
Desired background, qualifications, and skills :
- Bachelor's or higher degree in Computer Science/Electronics engineering with 10 to 15 years of relevant experience.
- Preferred to have any Embedded Edge AI related certification.
- Demonstrated experience in ML and Computer vision applications development and best practices.
- Experience in C++/Python, GStreamer, Device Drivers, SDK and debugging embedded systems.
- Experience in deep learning frameworks (Onnx, TensorFlow, PyTorch, etc.).
- Demonstrated proficiency in Solution development for ARM based SoC with features such as PCIe, MIPI, Ethernet, Video etc.
- Experience in board bring-up, debug and key considerations for system level solution development.
- Demonstrated experience with software development in a Linux environment.
Preferred :
- System/Solution Architecture (HW + SW + Edge AI) experience with any of the Edge AI platforms like Jetson, Kinara, Kria SOM
- Experience in customer-facing roles such as Application/Field Application Engineering role
- Experience with Conversation AI applications, LLM based applications development.
- Willing to travel ~25% of the time.
Personal Attributes :
- Self-motivated individual with Can-do attitude, Ability to work and collaborate cross functionally, Strong team player. Curious, creative and good at solving problems. Execution and result oriented. Self-driven, Thinks Big and is highly accountable. Excellent verbal and written communication skills, Able to work in fast-paced startup environment.
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