Machine Learning Engineer / AI Systems Engineer
Amira Learning, Texas +1
What you will do
- Design, develop, and maintain automated educational evaluation and learning systems leveraging speech recognition, NLP, and large language models (LLMs) to assess real‑time user performance and feedback.
- Integrate and fine‑tune third‑party AI services, open‑weight LLMs, and proprietary models to deliver adaptive, conversational learning experiences personalized to user proficiency.
- Architect and implement end‑to‑end ML pipelines for data extraction, semantic analysis, multi‑label classification, and predictive modeling supporting real‑time content delivery.
- Build scalable Python backend services and cloud‑native infrastructure engineered for low‑latency inference in production AI environments.
- Conduct rigorous model validation and bias analysis to ensure accuracy, scalability, and reliability across diverse user populations.
- Develop distributed data engineering solutions to process, transform, and serve large‑scale educational datasets for model training and real‑time inference.