Machine Learning Production Engineer
Location: On-Site, Scottsdale, AZ

Job Description:

Want your work to make a real difference? At Defendry, we’re on a mission to combat the active shooter epidemic with groundbreaking tech solutions that save lives. If you’re passionate about innovation and eager to work on cutting-edge AI-driven security solutions, this is your opportunity to contribute meaningfully.


What You'll Be Doing:

  • Collaborate with the Chief Science Officer and Product Delivery Team to enhance Defendry's advanced AI security platform.
  • Deploy and optimize TensorFlow (or PyTorch/Caffe) models in high-performance production environments.
  • Engineer scalable solutions that integrate AI, IoT, and security systems to protect people and spaces.

What We’re Looking For:

  • 3+ years of Python programming experience
  • Proven experience deploying machine learning models (TensorFlow, PyTorch, or Caffe) into production
  • Strong analytical and problem-solving skills
  • Deep understanding of data structures, algorithms, and system design

Bonus Points For:

  • Managing container environments with Docker and Kubernetes
  • Experience with relational and NoSQL databases (PostgreSQL, Elasticsearch, Redis, Couchbase, or Cassandra)
  • Designing robust REST or gRPC APIs
  • Familiarity with continuous integration tools like Jenkins or GitLab CI
  • Expertise in Azure (preferred), AWS, or Google Cloud resource management

Why Defendry?

  • Be part of a mission-driven team tackling one of the world’s most critical safety challenges
  • Collaborate with top talent in AI, Cloud Computing, and IoT Integration
  • Thrive in a fast-paced, innovative environment where your contributions truly matter

Key Skills:

  • Machine Learning Production Engineer