AI Enablement Lead [gn] Data Intelligence
Tasks
- Create AI adoption success metrics
- Define AI tooling standards
- Design internal AI platforms
- Drive AI prototyping to production
- Establish LLMOps and MLOps practices
- Evaluate AI technologies vendors and open source models
- Implement AI governance frameworks
- Integrate generative AI into data platform solutions
- Lead AI enablement workshops
- Optimize AI infrastructure performance
Perks/Benefits
- Career development
- Continuous learning
- Flexible work arrangements
- Hybrid work
- Professional growth
- Remote work
Skills/Tech-stack
API Gateway | Automated testing | CI/CD | Clean architecture | Docker | Fine Tuning | Go | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Milvus | Model Evaluation | Monitoring | PGVector | Pinecone | Privacy | Prompt engineering | Python | Security | Semantic Search | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | LLMOps Engineer | Learning Engineer | Machine Learning Engineer
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