Posted:21 hours ago|
Platform:
Work from Office
Full Time
1. Experience in AI/ML development
2. Excellent knowledge of data mining, tools and libraries (pandas,
numpy, ) and a good understanding of data structures
3. Ability to perform predictive and statistical analysis from
different data sources.
4. Exposure to model deployment on constrained EDGE devices
like RPI, Jetson Nano, Renesas etc
5. Experience working with Image Processing, Computer Vision,
NLP, Pattern Recognition, Machine Learning and Linear
algebra.
6. Exposure to model development + deployment of Neural
Networks, Support vector Machines, Deep Learning, etc..
7. Experience working on Different classes of Images with
segmentation, object detection, scene analysis
8. Experience on trouble shooting/debugging ML model issues
9. Programming skills preferably using Python, C, C++
1. Exposure to ONNX ontologies.
2. Exposure to deployment tool-chain like Intel EII, Nvidia Deep
Stream, Qualcomm AI Hub, etc....
3. Excellent communication and documentation skills
4. Programming skills preferably using OpenCV, Tensorflow,
Pytorch
5. Exposure to popular platforms such as Azure, AWS.
6. Exposure to ML Ops
1 Setup end-end deep learning pipeline for data ingestion, preparation, Model training,
validation and deployment
2 Tune the models to achieve high accuracy rates and minimum latency
3 Deploying developed Deep learning models on constrained EDGE devices after optimization to meet customer requirements.
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