Principal AI & Machine Learning Engineer, Spring, Texas, Onsite
Spring, Texas, United States of America
USD 152K-349K Senior-level Full Time
Tasks
- Adopt LLM technologies
- Adopt open source AI solutions
- Align AI with business objectives
- Build AI APIs
- Build AI microservices
- Collaborate with architects
- Collaborate with business analysts
- Conduct code reviews
- Create SOPs
- Create deployment runbooks
- Create technical documentation
- Define AI engineering best practices
- Deploy AI applications
- Deploy on Kubernetes infrastructure
- Design AI applications
- Develop AI applications
- Develop AI pipelines
- Evaluate emerging AI tools
- Implement continuous improvement
- Implement model versioning
- Implement secure compliant solutions
- Lead AI engineering team
- Mentor AI engineers
- Monitor AI models
Perks/Benefits
- Career Development Programs
- Flexible work arrangements
- Health and wellbeing benefits
- Inclusion programs
- Personal and professional development
Skills/Tech-stack
AIOps | AWS | Agentic Frameworks | Apache Airflow | Azure | CI/CD | Cloud platform | Docker | FastAPI | Flask | GenAI | GitHub Actions | GitOps | Google Cloud | Google Cloud Platform | Grafana | Helm | Jenkins | Kubeflow | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Model Registry | OpenTelemetry | Prometheus | Python | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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