remote
Founding Forward Deployed Machine Learning Engineer - adaption
ML Engineer
Lead end‑to‑end ML solutions for diverse customers, turning field insights into product features using Python, AWS, and data engineering expertise.
About the role
Key Responsibilities
- Engage directly with customers to uncover high‑impact ML opportunities and translate them into actionable solutions.
- Design, prototype, and ship production‑ready ML models and pipelines on AWS infrastructure.
- Iterate rapidly on models, data workflows, and feature sets based on real‑world feedback.
- Collaborate with product and engineering teams to embed field‑derived insights into the platform roadmap.
- Document best practices and share knowledge across the organization to elevate overall ML capability.
Requirements
- Strong background in machine learning, with hands‑on experience building models in Python.
- Proficiency with AWS services (SageMaker, Lambda, S3, etc.) for scalable ML deployments.
- Solid data engineering skills: data ingestion, transformation, and feature engineering.
- Excellent communication skills and a customer‑first mindset.
- Experience in a fast‑moving startup or product‑focused environment is a plus.
Skills
machine learningpythonaws