onsite
Solutions Engineer, Public Sector - Domino Data Lab
Software Engineer
Solutions Engineer focused on public‑sector clients, delivering AI/ML platform implementations, integrating MLOps pipelines, and providing technical guidance using Python, Docker, Kubernetes, and AWS.
About the role
Key Responsibilities
- Design, configure, and deploy the AI/ML platform for government and defense customers, ensuring scalability and security.
- Collaborate with data science and engineering teams to build end‑to‑end MLOps pipelines using Docker, Kubernetes, and CI/CD tools.
- Provide technical pre‑sales support, including demos, proof‑of‑concepts, and architecture reviews tailored to public‑sector requirements.
- Develop custom integrations and automation scripts in Python and Git to streamline model development, testing, and deployment.
- Act as a trusted advisor, delivering training, best‑practice guidance, and ongoing support to maximize customer value.
Requirements
- 3+ years of experience delivering AI/ML solutions in a cloud environment, preferably AWS.
- Strong proficiency in Python and container technologies (Docker, Kubernetes).
- Hands‑on experience with MLOps concepts, CI/CD pipelines, and version control (Git).
- Excellent communication skills and ability to translate technical concepts for public‑sector stakeholders.
- Background in security‑focused or regulated industries is a plus.
Skills
pythondockerkubernetesawsmlops