Software Engineers, Machine Learning​/ ML Engineer, Cloud Engineer - Software

The Software Engineer supports the development, deployment, and scaling of Python-based backend services for a distributed, cloud-hosted embedded machine learning platform, requiring foundational knowledge in cloud architecture, scalable systems, and applied machine learning, including:
Backend Development:
Contribute to the refactoring of Python-based backend services using Flask, SQL Alchemy, and Celery to improve dataflow, system stability, and inter-service coordination in a distributed environment. System Optimization:
Assist in the analysis of database performance to reduce logical complexity and optimize peak connections for high-concurrency, scalable backend systems supporting continuous sensor ingestion. Cloud Deployment:
Help develop and deploy components using AWS Lambda, S3, and Beanstalk, applying cloud architecture best practices (stateless services, event-driven design, and resource optimization) to support high-volume sensor data processing. Embedded & AI Integration:
Support the integration of automated AI-based anomaly detection features within embedded platforms, including exposure to machine learning inference pipelines and environment-specific embedded development using Xcode. Quality Assurance:
Participate in maintaining CI/CD pipelines via Git Hub Actions and perform testing to ensure software reliability across the development lifecycle, including cloud-deployed and embedded system components. Salary $140,754 per year. If interested, send resume to: