Solution Engineer II (AI/ML lead)
- Einfochips
- 8 - 12 years
- Noida, Gurugram
- 16 days ago
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Job Description
Job Description Summary
We are seeking an experienced Machine Learning professional with strong expertise in Edge AI, AI system design, model development, and solution architecture. The ideal candidate will contribute to the end-to-end (edge to cloud) design, development, optimization, and deployment of intelligent edge and cloud-based AI solutions.
This role demands a blend of deep technical skills, solution-oriented thinking, and leadership in delivering high-performance AI systems for real-world applications such as computer vision, robotics, and edge intelligence.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 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 25 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 812 years of equivalent work experience
- 35 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.
Job Classification
Industry: Telecom / ISPFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: EinfochipsLocation(s): Noida, Gurugram
Keyskills: Machine Learning Azure ML deep learning PyTorch AWS Sagemaker computer vision Keras Caffe ONNX TensorFlow
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Einfochips
eInfochips, an Arrow company, is a leading global provider of product engineering and semiconductor design services. With over 500+ products developed and 40M deployments in 140 countries, eInfochips continues to fuel technological innovations in multiple verticals. The companys service offerings in...
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