Senior Machine Learning Engineer

Roles and Responsibilities

• Good analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
• Hands-on with Python / R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.
• Computer Vision : Image preprocessing, image matching / comparison using SIFT / SURF / ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
• NLP : Vector Space modeling in NLP, LSTMS, Sequence modeling, Attention modeling, BERT, Transformers. Using the above-mentioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis
• Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.
• Knowledge of statistical modelling and popular machine learning models.
• Feature engineering, Feature selection / Feature importance, Dimensionality
• Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking © 2020 Quantiphi Inc, All rights reserved
• Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.
• Critical eye for the quality of data and strong desire to get it right.
• A pleasantly forceful personality and charismatic communication style.

Skills- Required