Responsibilities:
1. Design and Develop Machine Learning Models: Develop and train machine learning models using modern learning libraries like Scikit-Learn and TensorFlow.
2. Deploy Real-World Models: Deploy machine learning models to production environments, ensuring scalability, reliability, and performance.
3. Transform Massive Datasets: Transform and preprocess large datasets to prepare them for modeling.
4. Cloud Platform Integration: Integrate machine learning models with cloud platforms, primarily AWS, to enable scalable and efficient deployment.
5. Collaborate with Cross-Functional Teams: Work with data scientists, software engineers, and business stakeholders to identify business problems, develop solutions, and deploy models.
Keyskills: aws scikit-learn tensorflow