Principal AI Engineer - Enterprise AI Solutions
Tasks
- Collaborate with stakeholders on use cases
- Deploy and measure AI solution impact
- Design distributed AI ML systems
- Develop and implement AI components
- Enforce secure scalable AI development standards
- Implement MLOps pipelines
- Lead AI solution design and architecture
- Monitor models and improve training
- Provide AI ML technical leadership and mentorship
- Research and evaluate AI ML techniques
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Agentic AI | Cloud Computing | Distributed Systems | GCP Vertex | GCP Vertex AI | Generative AI | Go | Java | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Training | Model versioning | PyTorch | Python | RAG | Retrieval-Augmented Generation | Security | Streaming Data | TensorFlow | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
Regions
Countries
States
Cities
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