Das ist der Job
Ensure high-quality and production-ready Python or Go code.
Darum lohnt es sich
Collaborate with management and technical team on technical roadmap and implementation strategy. Strong ability to communicate concepts and software system results with customers, management, and the technical team, highlighting actionable insights.
Responsibilities Deployment and integration of computer vision solutions for next-generation satellite imagery analytics. 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. Requirements 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. 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. #J-18808-Ljbffr
