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Job Description:
Skills:
Solid understanding of statistics, probability, ML and DL
A minimum of 2 years of experience in developing and deploying end-to-end AI/ML solutions in production environment
Exposure to reinforcement learning, supervised and unsupervised algorithms, various architectures of neural networks, time series forecasting, deep learning networks
Deep expertise in any specific application of ML and DL
Prior experience in building and deploying ML pipelines from data ingestion, preparation to deploying models in production
An understanding of various databases relational, NoSQL with prior experience in any DB
Exposure to ML and DL frameworks like TensorFlow, PyTorch, Caffe, etc
Familiarity with ML testing and data validation frameworks
A go-getter attitude with a drive for execution
Good to have –
Familiarity with IoT communication protocols like MQTT
Edge AI deployment experience
About Company:
