CAREER
What binds the people of Starkenn together, is our love for all things innovation, technology for good and the urge to stand out from the crowd. We are a collective of highly driven individuals with industry knowledge that aim for nothing less than the sky, but again, the sky is not our limit!
AI/ML GET
Pune
Location:
Experience:
4-8 Years
Job Profile
We are seeking a competent Deep Learning Engineer for our early stage start-up in 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 driver.
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 take 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 premiere educational institutes
Experience in building Deep Learning based object detectors for Computer Vision Applications
Very good 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 flavoured operating systems
Stand out from the crowd
Prior product development experience of working with an early stage startup
Production grade experience of 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