Deep Learning Engineer - Pune, India - Starkenn Technologies

    Starkenn Technologies
    Starkenn Technologies Pune, India

    3 weeks ago

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    Description

    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