Below are the Roles & Responsibilities –

• Work together on daily tasks with research scientists and other team members, concentrating on the creation, training, and optimization of custom models.
• Create models using data (including predictive modeling, hypothesis testing, and exploratory data analysis).
• If implementing a deep learning model, use PyTorch and TensorFlow in addition to ML models.
• Use AWS services for effective data storage, querying, and computing, such as S3, Athena, and EC2.
• Create the prediction models’ dashboards.
  
  
  

Below are the Required Skills & Qualifications –

• Strong command of Python-based supervised and unsupervised machine learning models.
• Familiarity with PyTorch, TensorFlow, and deep learning model training.
• Proficiency with large-scale exploratory data analysis
• Exposure to model deployment dashboard creation and the use of AWS S3, Athena, and EC2 MLOps.