remote
AI/ML Engineer - Crate and Barrel
ML Engineer
Develop and deploy AI/ML models for e‑commerce personalization and operational automation, leveraging Python, cloud services, and container orchestration.
About the role
Key Responsibilities
- Design, build, and train machine‑learning models to improve product recommendation, search relevance, and inventory forecasting.
- Develop end‑to‑end pipelines for data ingestion, preprocessing, model training, and deployment using Python and cloud services.
- Containerize models with Docker and orchestrate scalable inference services on Kubernetes or AWS SageMaker.
- Collaborate with data engineers, product managers, and UX designers to translate business needs into technical solutions.
- Monitor model performance in production, implement A/B testing, and iterate based on metrics and user feedback.
Requirements
- 3+ years of professional experience building and deploying ML models in production.
- Proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with AWS services (SageMaker, EC2, S3) and container technologies (Docker, Kubernetes).
- Strong SQL skills for data extraction and analysis; familiarity with data‑lake concepts.
- Ability to communicate complex technical concepts to cross‑functional teams.
Skills
pythontensorflowpytorchawsdockerkubernetessqlmachine learning