AI/ML Engineer_Senior Engineer_Noida

4 days ago

Noida, Uttar Pradesh, India Arrow Full time
Position:AI/ML Engineer_Senior Engineer_NoidaJob 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 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 timeJob Category:Engineering Services

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