Deep Learning Engineer Computer Vision
Posted on :
08-06-2024
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1 Vacancy
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Job Description
Our client is a brandnew Automotive Technology Startup backed by a leading INR 500Cr Tier 1 Automotive Supplier aiming to develop driver & rider safety systems especially for the Indian conditions by equipping the riders and drivers with advanced assistive and affordable obstacleavoidance automotive systems. Our client tends to utilize technologies such as Computer Vision AI/ML Big Data Sensor Fusion Embedded Systems and IOT to develop smart assistance systems.
Thier Suite of Products Include but are not limited to:
Front Collision Warning System (FCWS)
Collision Avoidance System (CAS)
Sleep Alert System
Driver Monitoring System
Job Profile
We are seeking a competent Deep Learning Engineer for our early stage startup 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
rider.
Experience: 04 to 12 years
Location: Pune
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 hyper parameter 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 C14 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
Ways to stand out from 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
c++14,pytorch,yolo,resnet,cnn,tensorflow,darknet,caffe,python,mobilenet,alexnet,linux,ssd,opencv,opencl,android/ios,ci/cd,keras,hardware peripherals,data structures,deep learning,raspberry pi,vision applications,autonomous driving,data ingestion,model training,google lenet,arm cpus,transfer learning,docker containers,optimize models,hyper parameter tuning,computer vision algorithms,small embedded computers,arm compute library,build model visualizations,handle tera/peta bytes,detect road objects,computer vision object detectors
Employment Type
Full Time
Key Skills
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