Computer Vision Developer

2 weeks ago

Mohali, Punjab, India Research Infinite Solutions LLP Full time ₹ 7,00,000 - ₹ 8,00,000 per year

Note : We want immediate Joiner Only

We are seeking a skilled Computer Vision Developer to build and deploy production-grade computer vision solutions in real industrial environments. This role involves model development, system integration, and deployment on edge devices like Jetson Nano/Xavier.

Experience Required: 2 + Years

Location: Mohali, Punjab

Work Mode: On-site

Timings: 10:00 AM – 7:00 PM (Day Shift)

Interview Mode: Face-to-Face ( On-Site)

Contact: Mon–Fri, 11 AM – 6 PM)

Key Responsibilities

  • Design and optimize deep learning models for object detection, segmentation, and classification , Prediction models.
  • Develop scalable CV pipelines using Python, OpenCV, and deep learning frameworks (YOLO, PyTorch, TensorFlow , MATLAB , Jupiter Notebook , Excellancy).
  • Integrate models into edge or server systems and support real-world deployments.
  • Work with hardware like industrial cameras and Jetson devices for on-site installations.
  • Execute testing procedures, troubleshoot issues, and ensure system reliability.
  • Collaborate with cross-functional teams and document technical details effectively.

Required Qualifications

  • Bachelor's in Computer Science, Electronics, or related field (Master's or AI certifications a plus).
  • 2+ years of experience in computer vision, preferably in industrial or real-time applications.
  • Proficient in Python, OpenCV, and deep learning libraries (PyTorch, TensorFlow, Keras / MLOPS).
  • Experience with YOLO (v5/v8), CNNs, object tracking, and segmentation.
  • Comfortable working in Linux environments; familiarity with Git and shell scripting.
  • Experience deploying models on edge devices (e.g., Jetson Nano/Xavier) is a strong plus.
  • Understanding of camera hardware, lighting, and imaging constraints.

Job Types: Full-time, Permanent

Pay: ₹700, ₹800,000.00 per year

Experience:

  • Computer Vision: 2 years (Preferred)

Work Location: In person

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