Senior Engineer ML Apps

As a Senior Backend Engineer, you will play a pivotal role in optimizing our production deep learning inspection software. Your expertise will drive innovation, guide complex projects, and ensure the successful delivery of cutting-edge solutions. Join us in shaping the future of glass manufacturing technology!

The position is responsible for providing technical expertise within a small software engineering team to support for a set of highly technical and automated glass facilities. Typical equipment supported would include inspection systems and other applied machine learning software. Performance metrics are project completed on time, under budget and met performance (accuracy, uptime, etc.) requirements.

Responsibilities:

• Solve Complex Problems: Tackle loosely defined, highly technical software engineering problems, leveraging your expertise and creativity. You'll often start with a limited knowledge base, as we are generally solving problems which have not yet been solved by others.
• Optimization: Improve existing systems to run as fast as needed and reliably as possible. Implement new features with acceptable speed and ideal reliability.
• Technology Development: Improve and grow existing deep-learning based visual inspection systems, develop new types of inspection systems, and expand into tabular data processing to advance process control technologies.
• Global Support: Support multiple plants in the US, Mexico, and Europe with software engineering skills while continuing to develop new skills and expertise.
• Build and maintain web applications (FastAPI, Flask or similar) for use in a 24/7 production environment
• Cloud Services and Deployment: Manage cloud services (Azure Iotedge or similar), GitHub repository, and automated deployment tooling.
• Computer Hardware: Define hardware requirements based on processing time requirements
• Time Management & Flexibility: work on multiple projects (3 or more) simultaneously, supporting multiple facilities, systems, and/or departments.

• Technical Mastery: Expertise in Python. Expert level mastery of at least one of the following and good understanding of all of the following: Backend Engineering, Frontend Engineering, Data Science
• Technology Stack: Docker Compose, fastai (PyTorch), Azure IoTHub, nbdev, fastapi, SQL, gRPC, Python, GitHub, Ubuntu
• Cloud Expertise: Skilled in docker and Azure iotedge. Strong understanding of Azure cloud services, such as IoT Hub, Container registry, Key vault, databases, and cloud computing
• Version Control: Experience managing and securing a private GitHub repository
• Software Design: Strong skills in object oriented software design, focused on the balance between efficiency, flexibility, reliability, and implementation time
• Computer Hardware: Basic understanding of computer hardware
• Additional Technical Skills: Experience with computer vision, machine learning, and/or AI concepts
• Optimization: Experience minimizing processing times and maximizing reliability of production grade software.
• General Job Requirements: Willingness to learn the basic automotive glass fabrication processes. Good verbal and written communication skills for collaboration across multiple