remote
Applied Machine Learning Engineer - adaption
ML Engineer
Drive end‑to‑end ML solutions for diverse customers, translating complex data challenges into production‑ready models on AWS, while collaborating closely with clients to refine product features.
About the role
Key Responsibilities
- Partner with strategic customers to understand domain problems, data workflows, and business objectives.
- Design, prototype, and deploy scalable ML models using Python and AWS services.
- Iterate on model performance, feature engineering, and data pipelines to close gaps in the platform.
- Translate field insights into product enhancements and documentation for internal teams.
- Present findings and solutions to technical and non‑technical stakeholders, ensuring clear communication of value.
Requirements
- Strong experience in Python, ML libraries (scikit‑learn, TensorFlow, PyTorch) and SQL.
- Hands‑on knowledge of AWS services (SageMaker, Lambda, S3, Glue).
- Proven ability to build end‑to‑end data pipelines and production‑grade ML workflows.
- Excellent communication skills and a customer‑centric mindset.
- Experience in translating research into real‑world product features is a plus.
Skills
pythonmachine learningawssql