remote
AI Automation Engineer - Plaud
QA Engineer
Lead the design and deployment of AI‑driven automation pipelines, leveraging Python, ML, and NLP to transform user interactions into actionable insights on a secure, cloud‑native platform.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end AI automation workflows using Python and ML frameworks.
- Implement NLP models to parse and interpret user speech, text, and visual data for actionable outputs.
- Deploy models and services on AWS, ensuring scalability, reliability, and compliance with security standards.
- Containerize applications with Docker and orchestrate deployments via CI/CD pipelines.
- Collaborate with product, data, and security teams to iterate on feature requirements and performance metrics.
Requirements
- 3+ years of experience in AI/ML engineering with a strong Python foundation.
- Proficiency in NLP libraries (spaCy, Hugging Face) and model deployment on AWS.
- Hands‑on experience with Docker, Kubernetes, and CI/CD tools.
- Solid understanding of data privacy regulations (GDPR, HIPAA) and secure coding practices.
- Excellent problem‑solving skills and a passion for building production‑grade AI solutions.
Skills
pythonmachine learningnlpawsdockercicd