AI Engineering Lead
Tasks
- Advise clients on AI roadmaps
- Build generative AI applications
- Build machine learning systems
- Collaborate with cross-functional teams
- Define AI architecture
- Deploy cloud-based AI solutions
- Design AI production systems
- Develop AI Agent workflows
- Develop RAG systems
- Ensure code quality and security
- Establish AI software development best practices
- Evaluate emerging AI technologies
- Implement AI microservices
- Implement MLOps and LLMOps pipelines
- Lead AI engineering team
- Mentor AI engineers
- Monitor models and performance
- Optimize latency and cost
- Oversee multiple AI projects
Perks/Benefits
Skills/Tech-stack
AI Observability | AWS | Azure | CI/CD | Cost Control | Docker | Generative AI | Google Cloud | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Latency management | Llamaindex | MLOps | Machine Learning | Model Monitoring | Performance optimization | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Learning Engineer | Machine Learning Engineer
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