Deep Learning Engineer

4 weeks ago


Bangalore, India Lincode Labs Pvt. Ltd. Full time

Job description

About us :


Lincode is an Artificial Intelligence company-based head quartered in the San Francisco Bay area and having offices in Michigan. We specialize in increasing the profitability of manufacturing companies globally. Our unique computer vision-based solution detects QA issues with higher rates of accuracy and at lower costs with our no code deep-tech platform infused with pre-trained defect libraries. Our proprietary model incorporates AI to detect manufacturing defects of less than 4 microns at 120 FPS. Our solution is deployable with existing cameras or basic camera equipment in open environments and can be operational within a single month of engagement.

Job Title : Deep Learning Engineer (Jetson Platform)

Summary :

We are seeking an experienced Deep Learning Engineer to join our team and contribute to the development of cutting-edge AI solutions powered by NVIDIA's Jetson platform. The ideal candidate will have a strong background in deep learning and computer vision, with hands-on experience working with the Jetson embedded AI computing platform.

Responsibilities :

  • Design, develop, and optimize deep learning models for computer vision, object detection, and other AI applications on the Jetson platform.
  • Collaborate with cross-functional teams to understand project requirements and deliver tailored AI solutions.
  • Leverage the Jetson platform's GPU acceleration capabilities to optimize model performance and inference speed.
  • Implement efficient data pipelines and preprocessing techniques for training and deploying deep learning models
  • Conduct research and stay up-to-date with the latest advancements in deep learning, computer vision, and embedded AI
  • Contribute to the development of tools, libraries, and frameworks for streamlining the deep learning workflow on Jetson devices
  • Participate in code reviews, documentation, and knowledge-sharing initiatives within the team
Requirements :
  • Bachelor's or master's degree in computer science, Electrical Engineering, or a related field
  • Minimum of 3 years of experience in deep learning and computer vision, with a focus on embedded AI or edge computing
  • Proven expertise in working with NVIDIA Jetson platforms, including model deployment, optimization, and integration
  • Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Caffe
  • Experience with CUDA, cuDNN, and GPU programming for accelerating deep learning workloads
  • Familiarity with OpenCV, ROS (Robot Operating System), or other computer vision libraries
  • Excellent problem-solving and analytical skills with the ability to break down complex problems
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Qualifications :
  • Experience with deploying deep learning models in real-world applications, such as robotics, autonomous vehicles, or industrial automation.
  • Knowledge of embedded systems, real-time operating systems, and embedded Linux
  • Familiarity with containerization technologies like Docker for deploying AI applications
  • Passion for staying up-to-date with the latest advancements in deep learning and AI
  • Contributions to open-source projects or research publications in relevant fields.
Job Type : Full-time

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