Identify opportunities for different machine learning techniques and evaluate which are best
Assist in developing and deploying ML-based production services to our clients
Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so
Apply rigorous testing of statistics, models, and code.
Contribute to the development of internal tools and data science team standards
Requirements & Skills:
Bachelors in relevant fields: math, computer science, data science, economics.
3-5 years of professional experience developing and evaluating machine learning models
Proficient in Python.
Experience using machine learning models and libraries, familiarity with NN frameworks a bonus.
Experience with GenAI is a bonus, but not required.
Familiarity with NLP or computer vision techniques.
Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience.
