Position:
Solution Engineer II (AI/ML lead)

Job Description:
Principal Accountabilities
- 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.
- Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations.
- Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment.
- Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design.
- Respond to client RFQs and provide robust technical proposals and solution architectures.
- Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery.

Job Complexity & Impact
- Demonstrates expert-level depth across machine learning, system integration,



and model optimization.
- Mentors ML teams with minimal supervision.
- Defines best practices for AI model lifecycle management and process improvements.
- Solves complex problems by combining cutting-edge and existing methods to deliver production-grade AI solutions.
- Represents the level at which career may stabilize for many years or even until retirement

Work Responsibilities
- Mentor 2–5 member AI engineering team for full-cycle ML product development.
- Architect, implement, and optimize AI models for edge computing platforms ensuring high throughput, accuracy and low latency.
- Develop and benchmark AI model pipelines on NVIDIA Jetson (Nano & Xavier), Qualcomm Snapdragon 835 and i.MX8 platforms or any other constrained platform.
- To work on platforms like Snapdragon Neural Processing Engine (SNPE), FastCV, Halide, Deep stream etc. as per requirement.
- Collaborate closely with embedded and applic

📌 Solution Engineer II (Noida)
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📍 Noida