CVML Architect (CVML + Embedded SW)

Bean HR Consulting; Gurugram District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Bean HR Consulting in Gurugram is seeking a Senior Technical Leader – Embedded CVML to drive next-gen AI-powered vision systems for manufacturing. You will lead architecture and deployment of CVML on embedded platforms, enabling real-time inspection, process control, and data-driven automation.

The role requires 12+ years in embedded systems, industrial automation, and computer vision, with hands-on camera-based vision, sensor integration, and edge ML experience.

Qualifications

• Bachelor’s degree in Engineering (Electronics, Embedded Systems, Mechatronics, or related field).
• 12+ years of experience in embedded systems, industrial automation, and computer vision.
• Proven experience with camera-based vision systems and sensor integration in real-world applications.
• Strong expertise in deploying ML/CV models on embedded or edge devices.
• Proficiency in Python and/or C++ with experience in performance optimization.

Responsibilities

• Lead the architecture, design, and deployment of CVML-based automation solutions on embedded platforms.
• Develop and implement real-time computer vision systems using camera-based inspection and sensor-driven data acquisition.
• Design and integrate machine vision systems, including camera modules, optics, lighting, and image sensors.
• Work with sensor-based systems (e.g., proximity sensors, LiDAR, IR, and sensor fusion) for intelligent automation.
• Deploy ML models on edge/embedded devices ensuring low latency and high performance.
• Provide technical leadership and mentorship to cross-functional engineering teams.
• Drive adoption of AI/ML and edge computing technologies in manufacturing processes.
• Collaborate with stakeholders to solve process, product, and equipment challenges using vision and sensor data.
• Lead capital equipment projects including vendor selection, system integration, and commissioning.
• Support new product introduction (NPI) with integrated CVML and sensor-based solutions.
• Execute process validation activities (IQ, OQ, PQ) and ensure compliance with regulatory standards.
• Perform Gauge R&R, process capability analysis, and statistical validation.
• Ensure adherence to engineering standards, quality systems, and documentation practices.

Skills

Embedded systems

Industrial automation

Computer vision

Camera-based vision systems

Sensor integration

Edge ML on embedded devices

Python

C++

OpenCV

TensorFlow Lite

PyTorch

Edge AI hardware

NVIDIA Jetson

Industrial sensors

Education

Bachelor’s degree in Engineering (Electronics, Embedded Systems, Mechatronics, CS)

Tools

OpenCV

TensorFlow Lite

PyTorch

NVIDIA Jetson

Job description

Role: Senior Technical Leader – Embedded Computer Vision & Sensor Systems (CVML)

Location: Gurugram

Experience: 12+ Years

Work Mode: Full-time / Permanent (Hybrid)

Role Overview

We are seeking a highly experienced engineering leader with deep expertise in Embedded Computer Vision, Machine Learning (CVML), and camera/sensor-based systems to drive next-generation intelligent automation in manufacturing.

This role will lead the design and deployment of AI-powered vision systems integrated with cameras and sensors on embedded platforms, enabling real-time inspection, process control, and data-driven manufacturing excellence.

Key Responsibilities

• Lead the architecture, design, and deployment of CVML-based automation solutions on embedded platforms.
• Develop and implement real-time computer vision systems using camera-based inspection and sensor-driven data acquisition.
• Design and integrate machine vision systems, including camera modules, optics, lighting, and image sensors.
• Work with sensor-based systems (e.g., proximity sensors, LiDAR, IR, and sensor fusion) for intelligent automation.
• Deploy ML models on edge/embedded devices ensuring low latency and high performance.
• Provide technical leadership and mentorship to cross-functional engineering teams.
• Drive adoption of AI/ML and edge computing technologies in manufacturing processes.
• Collaborate with stakeholders to solve process, product, and equipment challenges using vision and sensor data.
• Lead capital equipment projects including vendor selection, system integration, and commissioning.
• Support new product introduction (NPI) with integrated CVML and sensor-based solutions.
• Execute process validation activities (IQ, OQ, PQ) and ensure compliance with regulatory standards.
• Perform Gauge R&R, process capability analysis, and statistical validation.
• Ensure adherence to engineering standards, quality systems, and documentation practices.

Required Qualifications

• Bachelor’s degree in Engineering (Electronics, Embedded Systems, Mechatronics, Computer Science, or related field).
• 12+ years of experience in embedded systems, industrial automation, and computer vision.
• Proven experience with camera-based vision systems and sensor integration in real-world applications.
• Strong expertise in deploying ML/CV models on embedded or edge devices.
• Proficiency in Python and/or C++ with experience in performance optimization.

Preferred Skills

• Hands-on experience with computer vision frameworks such as OpenCV, TensorFlow Lite, or PyTorch.
• Strong understanding of:
• Image sensors and acquisition pipelines
• Sensor technologies (sensor fusion, LiDAR, IR, industrial sensors)
• Experience with real-time image processing, object detection, classification, and anomaly detection.
• Exposure to edge AI hardware (e.g., NVIDIA Jetson, Intel Movidius, or similar).
• Experience with industrial automation systems (PLCs, HMIs, robotics, machine vision systems).
• Knowledge of Design for Manufacturing (DFM) and production environments.
• Familiarity with quality and statistical tools (PFMEA, SPC, Gauge R&R).
• Experience with Lean, Six Sigma, and DMAIC methodologies.
• Strong leadership, stakeholder management, and communication skills.