Deep Learning Engineer

3 days ago


Pune, Maharashtra, India Axiom Pursuits Full time ₹ 12,00,000 - ₹ 18,00,000 per year
Our client is a brand-new 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 obstacle-avoidance 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 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 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 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 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

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