Computer Vision Engineer - Pune - Eternal Robotics

    Eternal Robotics
    Eternal Robotics Pune

    1 day ago

    Description

    About Eternal Robotics – Hypervise

    Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical.

    Role Overview

    We are looking for a AI Engineer - Computer Vision with 3-6 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments.

    You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance.

    Key Responsibilities

    1. Model Development & Testing

    • Build and optimize deep learning models for object detection, segmentation, and classification.
    • Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models.
    • Validate model accuracy against customer specifications and datasets.

    2. CV Pipeline Implementation

    • Develop modular and maintainable computer vision pipelines using Python.
    • Integrate pre-processing, inference, and post-processing components for edge and server-side deployments.

    3. Hardware & Deployment Support

    • Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment.
    • Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting.

    4. Testing & Quality Assurance

    • Write and execute test cases to ensure system functionality and robustness in diverse environments.
    • Collaborate with QA and support teams to resolve performance issues.

    5. Documentation & Collaboration

    • Document architecture, model performance, and system configurations.
    • Participate in code reviews and peer programming sessions.
    • Coordinate with team leads and project managers to align with delivery timelines.

    Qualifications & Experience

    • Education: Bachelor's in Computer Science, Electronics, or related engineering field. Master's degree or certifications in AI/ML is a plus.
    • Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments.

    Key Technical Skills

    • Proficiency in Python and OpenCV.
    • Experience with deep learning libraries: PyTorch, TensorFlow, Keras.
    • Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation.
    • Working knowledge of Linux environments, Git, and basic shell scripting.
    • Experience with Jetson Nano/Xavier, DeepStream SDK is preferred.
    • Understanding of camera configuration, lighting setups, and imaging constraints.
    • Experience deploying models on edge or embedded devices is a strong advantage.

    Soft Skills

    • Strong debugging and problem-solving skills.
    • Team player with a willingness to learn and adapt.
    • Effective communicator capable of interfacing with both engineering and customer teams.
    • Disciplined in documentation and reporting.

    Why Join Hypervise?

    • Build solutions that are deployed across real industrial environments.
    • Work alongside passionate technologists in a startup culture.
    • Access to advanced tools, data, and edge-AI hardware.
    • Be part of a company leading the industrial AI revolution.

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