The AI Engineer develops capabilities required to construct personalized adaptive learning technologies that enable effective, efficient, and engaging learning experiences.
Responsibilities
Developing AI/ML models to achieve objectives as outlined by Senior or Principal AI Engineers
Work with data scientists to build data ingest and data transformation infrastructure
Implement effective methods of AI/ML model testing during development, deployment, and recalibration
Train and retrain machine learning models and provide metrics to document and track their performance
Explore the data and identify differences in data distribution that could impact performance when deployed in prototypes
Utilize best practices around design, coding, automated unit, regression testing, and deployment of AI/ML models to production
Keep current of latest AI research in the personalized learning and assessment field
Utilize best practices in the responsible use of AI
Work closely with learning scientists and data scientists to define collection events and data transformations needed to drive personalized learning
Work closely with Product Owners to understand potentials and limitations of AI/ML in the product
Work effectively in the agile-at-scale framework
Adhere to ethical standards and comply with the laws and regulations applicable to your job function
Education And Experience
A Master’s Degree in Computer Science, Applied Mathematics, Engineering or a related field
At least three years of training or experience in AI/ML algorithm development
At least one year in technology enhanced learning solution research and development
DanaRemoters