Design, implement, and scale production ML and generative AI systems (including AI agents and intelligent document processing). Collaborate with product, engineering, and data teams, write maintainable Python code, apply MLOps best practices, build evaluation harnesses, and document systems to drive operational efficiency and business impact.

Lead design and maintenance of speech-focused test suites, evaluate and optimize ASR/TTS/speech-to-speech models across languages, produce quantitative benchmark reports, and recommend model selection and deployment optimizations for production.

As a Senior Machine Learning Engineer at Strider Technologies, you'll design and maintain ML solutions for document processing and classification, working with AWS and NLP techniques to enhance operational efficiency and decision-making.