Practice Lead - Machine Learning/Artificial Intelligence

Required skill

- Around 10 years of experience and around 6+ 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