onsite
Machine Learning Engineer - Two Dots Inc
ML Engineer
Lead the design and deployment of scalable ML models for housing risk analytics, leveraging Python, AWS, and advanced deep learning techniques to drive data‑driven decision making.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy machine learning models that predict housing risk and verification outcomes.
- Collaborate with data engineers to build robust data pipelines and feature stores on AWS.
- Implement model monitoring, A/B testing, and continuous improvement workflows.
- Translate business requirements into technical specifications and communicate results to cross‑functional teams.
- Stay current with state‑of‑the‑art research in deep learning and apply it to real‑world housing data.
Requirements
- 5+ years of experience building production ML systems in Python.
- Strong background in deep learning frameworks (TensorFlow, PyTorch) and model deployment on AWS.
- Proficiency in data engineering concepts, SQL, and cloud data services.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawsdeep learning