AI Architect
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Job Description
About Veltris
Where Innovation Acceleration and Transformation meet to deliver highROI
technology and business solutions.
Our design thinking approach to agile software development coupled with premium
fullstack capabilities and a cuttingedge innovation mindset accelerates timetomarket. This results in longterm strategic and competitive advantages for our clients
and partners.
Veltris Innovate Accelerate Transform to enable technologydriven Enterprise
Business and Industry transformations.
Requirements
Mandatory 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 problemsolving skills
Experience in Python Exploratory Data Analysis (EDA) Feature Engineering Data Visualisation
Machine Learning libraries like Scikitlearn 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 selfmotivated
Mandatory 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. 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
Employment Type
Full Time
Key Skills
