Lead the design and development of scalable machine learning infrastructure on AWS.
Work closely with product teams to develop MVPs for AI-driven features.
Create and enhance monitoring and alerting systems for machine learning models.
Enable various departments within the organization to leverage AI/ML models.
Offer expertise in debugging and resolving issues related to machine learning models in production.
Design and scale machine learning architecture to support rapid user growth.
Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing.

Bachelor’s degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
Proficiency with Python; experience with Golang is a plus.
Experience working with relational databases, data warehouses, and using SQL to explore them.
Familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.

Senior AI Engineer

Key skills