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Sr.ML Expert

Sr.ML Expert


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Data Scientist

Job description
3 years of work experience in w riting code in Python
Experience in using various Python libraries like Pandas, NumPy
Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE s PyCharm, Visual Studio Code; Libraries Pylint, pycodestyle, pydocstyle, Black)
Deep understanding of data structures, algorithms, and excellent problem-solving skills
Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation
Machine Learning libraries like Scikit-learn, XGBoost
Experience in building models for ML tasks (Regression, Classification)
Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure)
Experience in distributed training of models on Nvidia GPU s
Familiarity in Dockerizing the model and create model end points (Rest or gRPC)
Strong working knowledge of source code control tools such as Git, Bitbucket
Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous
A nalyze healthcare claims, referral, and clinical data to identify trends, and recognize outliers.
Build predictive models to gauge capacity, identify denials, estimate revenue for certain types of care or interventions
Strong drive to learn and master new technologies and techniques
Strong communication and collaboration skills
Good attitude and self-motivated.