Tech Stack
AWSAzureNumpyPythonScikit-LearnSQLTensorflow
About the role
- Prototyping of complex AI and ML based solutions for our products and custom AI/ML model development, training and evaluation
- Participation in client-facing user research in order to gather feedback on prototypes
- Interfacing with engineering teams from Anthology and helping them to take advantage of our own and external AI/ML models, as well as, advance analytics in their products
- Exploration and statistical analysis of data to support internal company decisions and to demonstrate our thought leadership in the EdTech space
- Working with our partners (AWS, Microsoft, Snowflake, and others) in order to grow and improve our AI/ML toolbox and knowledge
- Occasional travel within to the U.S. or Europe may be required
Requirements
- 5-8 years of professional experience
- Proficiency in common Python libraries for analysis of data and machine learning (Numpy, Scikit-learn, Torch, TensorFlow, etc.)
- Deep understanding of wide variety of ML models and techniques
- Ability to create robust high-quality Python code that adheres to best practices such as thorough unit testing
- Proven track record of successfully designing, developing and deploying custom complex AI/ML solutions
- Strong knowledge of SQL and experience with data lake technologies
- Familiarity with Amazon Web Services
- Strong experience working with Git
- Experience with CI/CD technologies (GitHub actions, AWS CodePipeline, etc.)
- Experience working with R
- Excellent communication skills, with the ability to explain complex concepts to non-technical audiences and mentor junior team members
- Fluency in written and spoken English at CEF B2 level or above
- Preferred: Experience with Amazon SageMaker and Amazon Bedrock
- Preferred: Knowledge of Data Version Control and Continuous Machine Learning
- Preferred: Experience with Azure
- Preferred: Experience with Snowflake, Snowpark and Snowflake Cortex
- Preferred: Significant engineering experience, especially in the area of data engineering
- Preferred: Experience with research, research study design and scientific publishing