AI Enablement Lead [gn] Data Intelligence
Tasks
- Define standards for AI tooling
- Design AI platforms
- Establish LLMOps and MLOps practices
- Evaluate AI models and vendors
- Implement AI governance frameworks
- Integrate generative AI into production systems
- Lead AI enablement workshops and documentation
- Measure AI adoption success
- Optimize AI infrastructure performance
- Prototype AI solutions to production
Perks/Benefits
- Career development
- Continuous learning
- Continuous learning opportunities
- Flexible work arrangements
- Hybrid work
- Professional growth
- Remote work
Skills/Tech-stack
API Gateway | Agentic AI | Automated testing | CI/CD | Docker | Embedding Models | Embeddings | Fine Tuning | Go | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Milvus | Model Evaluation | Monitoring | PGVector | Pinecone | Privacy | Prompt engineering | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Security controls | Semantic Search | Vector Database
Education
N/A
Roles
AI | AI Engineer | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Software Architect
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