AI & LLM Engineering Lead
Tasks
- Automate engineering workflows
- Build secure data pipelines
- Deploy LLM agents
- Design AI LLM solutions
- Develop fine-tuning pipelines
- Ensure model lifecycle management
- Establish AI governance
- Evaluate emerging AI technologies
- Implement ML CI/CD
- Implement rag pipelines
- Integrate AI into power automation workflows
- Lead AI LLM strategy
- Manage MLOps observability
- Monitor model performance and drift
- Optimize inference cost and accuracy
- Train and mentor engineering teams
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Azure | CI/CD | Cloud infrastructure | Cloud platform | Continuous Learning | Cybersecurity | Data Governance | Data Pipelines | Faiss | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Inference | Knowledge graphs | Language Models | Large Language Models | MLOps | Machine Learning | Milvus | Model Drift | Model Monitoring | Model versioning | Observability | On-prem | On-prem architecture | PyTorch | Python | RAG | Retrieval-Augmented Generation | Secure data pipelines | TensorFlow | Vector Databases
Education
Roles
AI | AI Engineer | AI Engineer Lead | Engineer | Engineer Lead | Engineering Lead | LLM Engineer | Lead | Machine Learning Engineering Lead
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