- Our design thinking approach to agile software development coupled with premium
- Veltris – Innovate, Accelerate, Transform to enable technology-driven Enterprise,
- 3+ years of work experience in writing 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)
- 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
- Analyze 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
Solution Architect - New Delhi, India - Veltris
Description
Job DescriptionAbout VeltrisWhere Innovation, Acceleration and Transformation meet to deliver high-ROI
technology and business solutions.
and partners.
Requirements
Mandatory Skills
RequirementsMandatory Skills · 3+ years of work experience in writing 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 · Analyze healthcare claims, referral, and clinical data to identify trends, and recognize outliers.