Deep Learning Engineer

  • Pune
  • Starkenn Technologies

Designation: Deep Learning Engineer (AI/ML)

Location: Pune, Aundh.

Experience: 5 to 8 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