Machine Learning Engineer

Required skill Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space Extensive experience in designing large scale machine learning solution for the ML use case, large scale deployments and establishing continues automated improvement / retraining framework. Strong experience in Python and Java is required. Hands on experience on Scikit-learn, Pandas, NLTK Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM Experience in Regression, Clustering, classification algorithms Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.

Experience in AutoML like TPOT or other Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill Understanding of Financial domain is desirable skill Responsibilities Design and implementation of solutions for ML Use cases Productionize System and Maintain those Lead and implement data acquisition process for ML work Learn new methods and model quickly and utilize those in solving use cases