Artificial Intelligence/Machine Learning Engineer - Statistical Modeling (3-5 yrs)

Must have :

- Experience with Python-based AI/ML frameworks

- Experience with ML frameworks (like Keras, PyTorch, Tensorflow) and libraries (like scikit-learn)

- Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles

- Proficiency in cloud services like SageMaker, S3, EC2, Azure Machine Learning

- Ability to containerize machine learning applications for portability and reproducibility

- Understanding of container orchestration for managing and scaling containers in a cloud environment

- Monitoring and logging tools for tracking the performance and health of models

- Integration of machine learning workflows into CI/CD pipelines for automated deployment

- Hands on experience with cloud-based ML services for model training, deployment, and management

- Proficiency in version control for collaboration and code management

- Excellent communication skills.

Good to have :

- Experience working with large datasets, handling data proprocessing tasks, and exploring data to identify patterns and insights

- Experience with object storage for managing large datasets

- Knowledge of databases for storing and retrieving data

- Ability to optimize costs associated cloud resources

- Understanding of cloud networking for secure and efficient communication between services

- Ability to work effectively in a cross-functional team