Digital Engineering Principal

R oles and Responsibilities:-

• Designing ML systems.
• Researching and implementing ML algorithms and tools.
• Selecting appropriate data sets. Picking appropriate data representation methods.
• Identifying differences in data distribution that affects model performance. Verifying data quality and performing data cleaning
• Transforming and converting data science prototypes.
• Performing statistical analysis.
• Running machine learning tests and using results to improve models.
• Training and retraining systems when needed. Extending machine learning libraries.
• Developing machine learning apps according to client requirements.