ØDesign and implementation of solutions for ML Use cases
ØProductionize System and Maintain those
ØLead and implement data acquisition process for ML work
ØLearn new methods and model quickly and utilize those in solving use cases
ØAround 10 years of experience and around 6+ years in AI / Machine learning space
ØExtensive experience in designing large scale machine learning solution for the ML use case, large scale deployments and establishing continues automated improvement / retraining framework.
ØStrong experience in Python and Java is required.
ØHands on experience on Scikit-learn, Pandas, NLTK
ØExperience in Handling of Timeseries data and associated techniques like Prophet, LSTM
ØExperience in Regression, Clustering, classification algorithms
ØExtensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
ØExperience in AutoML like TPOT or other
ØMust have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch
ØKnowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
ØUnderstanding of Financial domain is desirable skill