Avatar for Starkenn Technologies
Automotive Technology Start-up aiming to develop driver safety systems
  • Early Stage
    Startup in initial stages

AI/ML Engineer

  • ₹15L – ₹20L • No equity
  • 4 years of exp
  • Full Time
Reposted: 3 months ago
Visa Sponsorship

Not Available

Remote Work Policy

In office - WFH flexibility

RelocationAllowed
Skills
C++
Machine Learning
OpenCV
openCL
Deep Learning
Caffe
Keras
TensorFlow
YOLO
ResNet, AlexNet, VGGNet, Inception,
Python, Scikit-Learn, Tensorflow, Keras, Pytorch, OpenAI Gym, Opencv, Numpy, Pandas

About the job

We are a brand new Automotive Technology Start-up aiming to develop driver safety systems, especially for Indian conditions, by equipping riders and drivers with advanced rider assistance systems and affordable obstacle-avoidance automotive systems. We tend to utilize technologies such as Computer Vision, AI/ML, Big Data, Sensor Fusion, Embedded Systems, and IOT to develop smart assistance systems.

Our Current Suite of Products Includes, but is not limited to:

 Front Collision Warning System (FCWS)
 Sleep Driver Alert System
 Driver Monitoring System
 Driver Evaluation and Authentication

Job Profile

We are seeking a competent AI/ML Engineer for our early-stage start-up 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 hyper parameter 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 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 a good grasp of data structures and algorithms
 Good understanding of working with small embedded computers, hardware peripherals
 Basic knowledge of Docker Containers and Linux-flavoured operating systems

About the company

Starkenn Technologies company logo
Automotive Technology Start-up aiming to develop driver safety systems51-200 Employees
Company Size
51-200
Company Industries
Artificial Intelligence / Machine Learning
  • Early Stage
    Startup in initial stages

Employees joined from

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