remote
AI Automation Engineer - Single Grain
QA Engineer
AI Automation Engineer building scalable AI‑driven content optimization pipelines using Python, ML, NLP, and AWS to unlock growth opportunities for enterprise clients.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end AI pipelines that analyze and optimize content for SEO and conversion.
- Implement machine learning models (NLP, ranking, recommendation) in Python and deploy them on AWS services (SageMaker, Lambda, ECS).
- Collaborate with data engineers to ingest, clean, and transform large content datasets for model training.
- Automate data workflows, model retraining, and performance monitoring using CI/CD pipelines.
- Translate business requirements into technical specifications and provide actionable insights to product and marketing teams.
Requirements
- 3+ years of experience building production ML systems in Python.
- Strong background in NLP techniques and libraries (spaCy, Hugging Face, NLTK).
- Hands‑on experience with AWS services (SageMaker, Lambda, S3, DynamoDB).
- Proficiency in data engineering concepts and ETL tooling.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningawsnlp