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Sr. Deep Learning Engineer

3 months ago

Pune, Maharashtra, India Starkenn Technologies Full time

Designation:
Sr. Deep Learning Engineer (AI/ML)

Location:
Pune, Aundh.

Experience: 8 to 10 Years

Job Profile:


We seek a competent Deep Learning Engineer for our organization in the Automotive technology space to design, develop, and integrate computer vision algorithms for our rider safety product.

Computer Vision algorithms play a pivotal role in capturing high-end images of surroundings and mapping them accurately to produce effective alerts for the rider.


About your role:

  • Develop state of the art CNN based computer vision object detectors and classifiers to detect road objects in real time
  • Design and develop data ingestion, annotation, and model training pipelines to handle Tera/Peta bytes of video data and images
  • Build model visualizations, perform hyperparameter tuning, and make data-driven decisions to improve model performance
  • Optimize models for inference times and run on low-power embedded IoT ARM CPUs
  • Build CI/CD tests for evaluating hundreds of models on the test set

Desired Candidate Profile:

  • BS or MS in Computer Science, Engineering from premier educational institutes
  • Experience in building Deep Learning based object detectors for Computer Vision Applications
  • Excellent understanding of most popular CNN architectures like AlexNet, Google Lenet, MobileNet, Darknet, YOLO, SSD, Resnet
  • Hands-on experience in libraries and frameworks like Caffe, Tensorflow, Keras, PyTorch, OpenCV, ARM Compute Library, OpenCL
  • Good understanding of Transfer Learning, and training models with limited data
  • Strong programming skills in Modern C++14 or above, Python with good grasp on data structures and algorithms
  • Good understanding of working with small embedded computers, hardware peripherals
  • Basic knowledge of Docker Containers and Linux-flavored operating systems

Ways to stand out from the crowd:

  • Prior product development experience working with an early-stage startup
  • Production grade experience in deploying scalable ML models for Android/IOS
  • Notable Open Source contributions or coding Hackathon titles
  • Love for Raspberry Pi and ARM CPUs
  • Keen interest in Autonomous Driving