Software Engineer, Machine Learning Operations

Responsibilities

• Deployment and integration of computer vision solutions for next-generation satellite imagery analytics.
• Ensure high-quality and production-ready Python or Go code.
• Manage cloud infrastructure and code deployment to AWS, Kubernetes, or other environments.
• Take part in the entire project lifecycle from requirements development to deployment.
• Serve as a lead on MLOps software development projects, data ETL projects, and software feature development.
• Collaborate with management and technical team on technical roadmap and implementation strategy.

• Minimum of eight years of hands‑on experience as a software engineer with at least three years focused on geospatial MLOps.
• Bachelor’s Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field or equivalent experience.
• Demonstrated experience designing and building scalable production software solutions and architectures, especially for machine learning or image processing.
• Strong Python3 proficiency or GO proficiency and experience writing production software for data ETL, REST APIs, micro‑services, geospatial, or data analytics, and cloud deployment.
• Experience with databases, SQL queries, and data model design especially SQL such as PostgreSQL/PostGIS.
• Experience writing software to integrate with third‑party APIs, performing data ETL, and managing complex data at scale in relational data stores.
• Strong ability to communicate concepts and software system results with customers, management, and the technical team, highlighting actionable insights.
• Hands on experience with cloud services such as AWS EKS, S3, EC2, Aurora / RDS, SQS, SNS, Batch, etc.
• Due to program requirements, candidates must hold US citizenship.