Principal AI & Machine Learning Engineer, Spring, Texas, Onsite
Core
Design, develop, and deploy scalable AI/ML-powered applications and microservices on Kubernetes infrastructure.
Role type
Principal AI & Machine Learning Engineer (IC + Mentor)
Builds
Production-grade AI applications, microservices, APIs, and MLOps pipelines for edge-to-cloud solutions.
Domain
Enterprise IT infrastructure, Cloud Computing, Generative AI, MLOps
Deliverable
production ML models | product features | infrastructure
Required skills
Kubernetes orchestration, MLOps/AIOps tooling, Python (FastAPI/Flask), Cloud platforms (Azure/AWS/GCP), CI/CD pipelines, Agentic/GenAI frameworks, Vector databases, Observability tools
Preferred skills
Leadership and mentorship, Technical documentation, Responsible AI principles
Technologies
Kubernetes, Helm, MLflow, Kubeflow, Airflow, Docker, Jenkins, GitHub Actions, Prometheus, Grafana, OpenTelemetry, FastAPI, Flask
Responsibilities
Design and deploy AI applications and microservices; Build and maintain end-to-end AI pipelines; Lead and mentor AI/ML engineering teams; Evaluate and adopt emerging AI tools and frameworks; Collaborate with business and technical teams to align AI efforts with objectives; Establish technical documentation and deployment runbooks.
Seniority
Principal, hands-on IC with mentorship responsibilities