onsite
AI Engineer - bunch
AI Engineer
AI Feature Engineer building scalable ML solutions for household cost management, leveraging Python, AWS, and advanced NLP to deliver real‑time insights and automation.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models that power cost‑sharing features and predictive analytics.
- Collaborate with product and engineering teams to translate business requirements into data pipelines and model specifications.
- Implement end‑to‑end data workflows on AWS, ensuring data quality, security, and compliance.
- Optimize model performance and scalability using best practices in feature engineering and model monitoring.
- Document model logic, experiments, and results for internal knowledge sharing.
Requirements
- 3+ years of experience building production ML systems in Python.
- Strong background in AWS services (SageMaker, Lambda, S3, Glue).
- Hands‑on experience with NLP techniques and libraries (spaCy, Hugging Face).
- Proficiency in data engineering concepts and ETL pipeline development.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningawsnlp