Solution Engineer II (AI/ML lead)

Arrow Electronics; Dadri; On-site; INR 420,000 - 660,000; Full time

Job summary

Arrow Electronics' Noida-based team seeks a Solution Engineer II (AI/ML Lead) to translate business needs into scalable ML solutions, covering data prep, model development, validation, deployment and continuous improvement.

You will lead a small AI engineering team, architect edge‑compute models for Jetson, Snapdragon and i.MX8, and collaborate with embedded and application teams to deliver production‑grade AI systems.

Qualifications

• B.Tech/M.Tech or Ph.D. in Computer Science, Electronics, or related engineering domain.
• Typically requires 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 from concept to production.
• Academic publications in computer vision research at top conferences and journals.
• Excellent communication, problem-solving, and presentation skills.

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) and Snapdragon platforms or any other constrained platform.
• To work on platforms like SNPE, FastCV, Halide, Deep Stream etc. as per requirement.
• Collaborate closely with embedded and application teams to ensure successful AI system integration.

Skills

TensorFlow

PyTorch

ONNX

Keras

Caffe

TensorRT

Object detection

Instance segmentation

Depth estimation

Pose estimation

Activity recognition

Image super-resolution

GANs

ML pipelines

CUDA

OpenCL

DeepStream

NVIDIA Jetson

Qualcomm Snapdragon

NXP i.MX8

Google Coral

Raspberry Pi

Python

C++

Java

Rust

Go

Docker

Kubernetes

Flask

FastAPI

Django

ONNX Runtime

Git

Jenkins

RTX/DGX familiarity

AWS Sagemaker

Azure ML

Education

B.Tech/M.Tech or Ph.D. in CS/Electronics

Job description

Solution Engineer II (AI/ML Lead)

Job Description

• 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 innovative 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 application teams to ensure successful AI system integration.

Key Technical Competencies

• Deep Learning Frameworks: TensorFlow, PyTorch, ONNX, Keras, Caffe and TensorRT
• Computer Vision & Perception: Object detection, instance segmentation, depth estimation, pose estimation, activity recognition, image super‑resolution, GANs.
• ML System Architecture: Designing scalable ML pipelines for training, validation, and inference on edge and cloud.
• Hardware Acceleration & Optimization: CUDA, TensorRT, OpenCL and DeepStream.
• Edge & Embedded Platforms: NVIDIA Jetson (Nano/Xavier/Orin), Qualcomm Snapdragon, NXP i.MX8, Google Coral, Raspberry Pi.
• Programming Expertise: Python, C++, Java (optional: Rust, Go).
• Data & Model Pipelines: Docker, Kubernetes for ML orchestration.
• Deployment & Serving: Flask/FastAPI/Django for REST APIs, ONNX Runtime.
• MLOps: CI/CD integration for ML (Git, Jenkins, Docker), versioning, reproducibility, and model governance.
• Cloud AI Services: AWS Sagemaker, Azure ML (good to have).
• Familiarity with NVIDIA RTX and DGX platforms for training large models.

Required Qualifications

• B.Tech/M.Tech or Ph.D. in Computer Science, Electronics, or related engineering domain.
• Typically requires 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 from concept to production.
• Academic publications in computer vision research at top conferences and journals.
• Excellent communication, problem-solving, and presentation skills.

Location: IN‑UP‑Noida, India-World Trade Tower (eInfochips)

Time Type: Full time

Job Category: Engineering Services