ML/DL Engineer(2-5 yrs exp) Good understanding on python language in Data science ecosystem (Pandas,Scikit-learn, tensorflow, numpy , opencv , matplotlib etc) Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Solid background and knowledge in machine learning and deep learning Proficiency in various deep neural networks including CNN, RNN, Deep Reinforcement Learning and etc.
Solid familiarity with one of the deep learning frameworks: Pytorch, Tensorflow Experience with image processing, Computer Vision, and using ML tools to identify patterns in images
Experience applying deep learning frameworks, such as PyTorch/Torch, TensorFlow, Keras, Theano to real world applications that solve problems Knowledge of validated approaches for scale-ability, productionalizing models and implementing machine learning applied to expansive and diverse datasets (storage GPUs, techniques for deep learning at scale) Strong Understanding of Classification (svm, decision tree, random forest, neural network) & Regression (linear, polynomial, logistic, etc) concepts
Experienced user of machine learning and statistical-analysis libraries, such as GraphLab Create, scikit-learn, scipy, NetworkX, Spacy, and NLTK
Responsible for building automated solutions for the Build, Test and Release of production ready NLU (natural language understanding) models. Work closely with Research Scientists, Data Scientists & Product Managers to investigate design approaches, evaluate technical feasibility & implement production ready AI & ML solutions leveraging recent advances in Deep Learning, Cloud Infrastructure and automated DevOps pipelines.
Basic Qualifications 3+ years of hands on experience in software development, including design, implementation, debugging, and support, building scalable system software and/or Services
Ability to program to solve problems and automate repetitive tasks in a common scripting or programming language such as Python with a solid understanding of the UNIX/Linux operating systems
Proven ability to troubleshoot, problem solve and identify the root cause(s) with skill and passion for operational excellence.
Shows interest in improving self-service tools and effectiveness.
Detail-oriented with a high degree of organization with excellent verbal, and written communication skills.
Comfortable with ambiguity, prioritizing needs, and delivering measurable results in a dynamic environment working across multiple teams and organization
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