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AI Engineer - Tranzeal, Inc.
AI Engineer
Experienced AI Engineer needed to design and deliver scalable, cloud‑native machine learning platforms, build production‑grade AI solutions, and lead end‑to‑end model deployment using Python and modern DevOps tools.
About the role
Key Responsibilities
- Architect, develop, and maintain cloud‑native machine learning platforms that support high‑throughput model training and inference.
- Design and implement production‑grade AI solutions, integrating data pipelines, feature stores, and model serving components.
- Write clean, testable Python code and create comprehensive unit tests using Pytest to ensure reliability and maintainability.
- Deploy, monitor, and scale ML models on AWS using containerization (Docker) and orchestration (Kubernetes/ECS).
- Collaborate with data scientists, product managers, and infrastructure teams to translate research prototypes into robust, production‑ready services.
Requirements
- 10+ years of professional software engineering experience with a strong focus on Python development.
- Proven expertise in building, testing, and deploying machine‑learning models at enterprise scale.
- Hands‑on experience with cloud platforms (AWS) and container technologies (Docker, Kubernetes/ECS).
- Deep understanding of unit testing frameworks, especially Pytest, and CI/CD best practices.
- Strong problem‑solving skills and ability to work independently in a fast‑paced, collaborative environment.
Skills
pythonpytestmachine learningawsdocker