Customer interactions related to use-cases around ML (Machine Learning) / DL (Deep Learning); primarily getting them on the NVIDIA GPU acceleration stack for DL training & inferencing. Helping customers set up their ML (Machine Learning) / DL (Deep Learning) infrastructure around Big Data typically unstructured datasets. Having sound mathematical knowledge of ML (Machine Learning) / DL (Deep Learning) algorithms especially MLP (Multi-Layered Perceptron), CNN (Convolutional Neural Network) , RNN ( Recurrent Neural Network) & GANs (Generative Adversarial Network) for their problem statements. Shifting their DevOps from traditional IT methodologies to automated & scalable IT solutions. Setting up POCs for various use cases for clients as well as for internal product lines. Helping clients from model training to deployment using the NVIDIA GPU hardware/software stack. Help build the team training material & documentation for DLI training. Serve as a single technical point of contact between the OEM & the client. Skill Must have sound knowledge of Python programming language for software development. Strong understanding of Python Language with proficiency in Algorithms & Data structures. Hands on experience in Deep Learning frameworks like – Tensorflow/PyTorch/MxNET Good understanding of DevOps tools like Docker & Kubernetes, Ansible Excellent written and oral communication skills.
