Principal Architect

Cloud-Based Machine Learning System Architect

Lead a team of engineers to design and implement cloud-based machine-learning system architectures.

Develop scalable, generic, highly flexible cloud-based solutions to empower the machine-learning team to deliver algorithms and models to production.

Strong hands-on contributions to system implementation.

Work with team members and project management, setting a strong technical direction for projects, making sure that they meet project requirements.

Regularly attending team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues.

10+ years of hands-on experience as a software engineer, system architect, cloud engineer, or other similar experience.

Bachelor's Degree or higher in one of the following fields: computer science, data science, or another computational field.

History of leading technical teams to deliver scalable and flexible cloud-based systems.

Extensive experience with map-reduce and machine-learning frameworks such as Hadoop, Spark, etc.

Some knowledge of machine learning algorithms and processes.

Extensive experience with AWS cloud technologies.

Extensive knowledge of system design patterns and architectural best practices.

Experience developing asynchronous processing algorithms and Cloud-based solutions.

Substantial knowledge of data storage, search, and ETL processes, SQL and NoSQL.

Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights.

Must be a US Person for this role.

20+ years of hands-on experience as a software engineer, system architect, cloud engineer, or other similar experience.

Deep knowledge of machine learning processes and scalability solutions.

Experience working with remote sensing data, ideally satellite imagery with an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards.