|Date Posted||February 24, 2021|
This role will be responsible for working on various AI/ML (Artificial Intelligence/Machine Learning Role) initiatives under the Quality group at the client site. Key responsibilities include:
a. Data analysis (Scikit-Learn, Pandas, Numpy, Statistics)
b. Model development (Python)
c. Visualizations (Matplotlib, Seaborn, Plotly )
d. Feature Engineering (ML experience, Pearson correlation, regression, models)
e. Model Selection (Clustering, Regressions, Tree-based models, Neural Networks)
f. Hyperparameter optimization (familiarity with a specific model above such as TensorFlow, or LightGBM)
g. Model Deployment (AWS Sagemaker or Docker image)
h. API Interfaces
In addition to the above technical skills, the resource should be able to partner with the team to understand requirements, make recommendations for improvements and work with the business and IT team during deployment and testing of the model. Validation and documentation experience is nice to have.
DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.