Lead Fullstack AI/ML Consultant
Tasks
- Build AI deployment pipelines
- Build RAG applications
- Design cloud data and AI architectures
- Design production-grade AI systems
- Develop conversational AI assistants
- Develop frontend backend services and APIs
- Ensure security reliability performance and compliance
- Implement MLOps and LLMOps monitoring and governance
- Integrate enterprise systems
- Provide production support and optimization
- Translate requirements into AI solutions
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Web Services | Automated testing | Claude | Cloud platform | Docker | Function Calling | GCP | GPT | Gemini | Google ADK | Google Cloud | Google Cloud Platform | JavaScript | Kubeflow | Kubernetes | LLMOps | Langchain | Langgraph | Llama | MLOps | MLflow | Microservices | Microsoft Azure | Mistral | Model Governance | Monitoring | Observability | Prompt engineering | PyTorch | Python | RAG | REST APIs | Scikit-learn | Structured outputs | TensorFlow | Web Services | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Fullstack Developer | Learning Engineer | Machine Learning Engineer | Software Engineer
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