On-site
Full Time
• Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
• Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
• Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations.
• Should be able to perform EDA of raw data & feature engineering wherever applicable
• Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
• Should be able to leverage cloud platforms for training and deploying large scale solutions.
• Should be able to train and evaluate ML model using various machine learning and deep learning algorithm.
• Retrain and maintain model accuracy in deployment.
• Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker.
• Should be able to take complete ownership of the assigned project
• Experience of working in Agile environments
• Well versed with JIRA or equivalent project tracking tool
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