onsite
Software Platform Engineer II - MetLife
Devops Engineer
AI Engineer responsible for designing and deploying production‑grade machine‑learning solutions on an enterprise AI platform, collaborating with product and architecture teams, and mentoring junior engineers.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end AI/ML use cases on the enterprise AI platform, adhering to architectural standards and best practices.
- Work closely with product, architecture, and business stakeholders to translate requirements into scalable AI solutions.
- Optimize models for performance, reliability, and cost efficiency in cloud environments.
- Implement CI/CD pipelines using containerization and orchestration tools to ensure production‑ready delivery.
- Provide technical guidance and mentorship to junior engineers, fostering knowledge sharing and best‑practice adoption.
Requirements
- Strong hands‑on experience with machine‑learning frameworks such as TensorFlow or PyTorch.
- Proficiency in Python for data processing, model development, and automation.
- Experience deploying AI solutions on cloud platforms (e.g., AWS) using containers (Docker) and orchestration (Kubernetes).
- Solid understanding of software engineering principles, version control, and CI/CD workflows.
- Excellent problem‑solving skills and ability to collaborate across cross‑functional teams.
Skills
pythonmachine learningtensorflowawsdocker