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