SynthBee, Inc. is focused on building Collaborative Intelligence™ to maximize the potential of people and computers working together. As a Cloud Engineer, you will support tech leadership by optimizing and deploying cloud-based solutions, integrating machine learning models, and collaborating with teams to enhance data-intensive applications.
Responsibilities:
- Assist in cloud system upgrades, security patches, and infrastructure management tasks under the guidance of senior engineers
- Participate in cloud platform and machine learning model performance monitoring to proactively identify and resolve potential issues
- Identify and resolve technical issues related to machine learning workflows, cloud infrastructure and system integrations
- Support the deployment of robust ML models in production, ensuring high availability and scalability on cloud platforms like AWS, GCP, or Azure; build and refine ML pipelines that handle complex data workflows and large-scale datasets; ensuring smooth integration into existing systems. Partner on the end-to-end design of ML solutions, from data ingestion to deployment
- Partner with engineering teams to deploy, scale, and monitor ML Operations and cloud based solutions
- Develop and maintain detailed documentation for testing procedures and workflows, contributing to the team’s technical growth by sharing insights, providing mentorship to other team members, and fostering a collaborative environment
- Stay up to date with the latest cloud technologies, machine learning operations trends and best practices to continuously improve support offerings, prototype and evaluate emerging technologies to maintain a competitive edge
- Ensure cloud systems comply with security and regulatory standards, particularly in handling sensitive data and critical applications