Job Location: Kochi/Cochin

Responsibilities:

This job requires candidates to lead the design & development of Computer Vision(CV) based cognitive pipelines. The candidate will be responsible for creating & managing the CV pipelines for multiple solutions. He/She is responsible for designing requirement specific CV implementations using micro-services architecture. Candidate is expected to explore & implement latest technologies & algorithms wherever applicable. He is responsible for creating a technical roadmap for the team. He/she will be responsible for quick implementation of CV pipelines using partner cloud platform services wherever applicable.  Candidate will also be responsible for creating architecture documents. Responsibility also involves creating highly optimized & scalable architectures for CV based cognitive pipelines. 

Skills
MUST

• Strong experience in development of Computer Vision based projects is a must
• Strong track record of solution development from scratch
• Solid hands-on experience as Python Developer (very strong Python credentials only apply)
• Experience of using/customizing cloud providers AI/ML services
• Papers in high tier conferences/journals is a must
• Experience of Image Classification, Semantic Segmentation,  Instance Segmentation, Image retrieval, Image generation etc using deep learning & pattern matching techniques. 
• Hands-on experience using ML frameworks like Tensorflow, PyTorch, MxNET, Caffe and Keras
• Experience to develop & deploy production grade ML/DL models is a must.
• Strong track record of customer engagements and requirement creation.
• Should have created/worked on data labelling tools, frameworks, and strategies.
• Team Leading capabilities
• Proven effective oral & written communication skills
• Experience in Agile based development methodology
• Experience in leading Customer interactions

Others

• Experience with ML/DL topologies like GraphML, GANs, Transformers etc. 
• Knowledge of Inference optimizations of ML/DL using MKL-DNN, OpenVINO, ONNX, TesnorRT, Apache TVM

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