Artificial Intelligence Engineer- Computer Vision

1 week ago

Greater Bengaluru Area, India Intelense Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Company Description

Founded in December 2018,
Intelense
develops cutting-edge AI software that transforms unstructured heterogeneous data into actionable insights. Beginning with real-time
computer vision and video analytics
in public spaces, we have since expanded to deliver marketing intelligence and operational decision-making across industries worldwide. Our AI-driven platforms leverage advanced
deep learning, YOLO-based object detection, and machine learning pipelines
to identify emerging trends, consumer patterns, and operational inefficiencies, all while integrating seamlessly into existing infrastructures. At the core of our innovation is
KenAI
, which powers our suite of products—
KenVision, KenRobotics, and KenIoT
—using state-of-the-art AI algorithms for anomaly detection, predictive maintenance, and intelligent automation.

Role Description

This is a full-time on-site role for an
Artificial Intelligence Engineer
located in the Greater Bengaluru Area. The engineer will be responsible for
designing, training, and deploying computer vision models
, with a strong focus on
YOLO architectures, TensorFlow, and Python-based pipelines
. Day-to-day tasks include building AI models for
pattern recognition, object detection, and video stream analytics
, integrating with
IoT sensors, robotics systems, and camera infrastructure
. The role also involves optimizing models for deployment in
real-time environments
, ensuring scalability, accuracy, and robustness. Collaboration with cross-functional teams will be key to delivering high-quality, production-ready AI solutions.

Qualifications

  • Strong expertise in
    Computer Vision, Object Detection (YOLO, TensorFlow, OpenCV, etc.)
  • Proficiency in
    Python
    and deployment of AI models using frameworks such as
    TensorFlow, PyTorch, or ONNX
  • Solid understanding of
    Neural Networks, Pattern Recognition, and Deep Learning architectures
  • Experience with
    real-time video analytics, streaming data, and edge deployment
  • Familiarity with
    IoT sensors, robotics integration, and camera-based systems
  • Strong problem-solving and analytical abilities with production-focused mindset
  • Excellent communication, collaboration, and teamwork skills
  • Bachelor's or Master's degree in
    Computer Science, Artificial Intelligence, Computer Vision, or a related field with 3+ Years of experience

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