AI Architect
USD 147K-230K Senior-level Full Time
Tasks
- Architect end to end AI ecosystem
- Build anomaly detection and reporting
- Build multimodal AI pipelines
- Collaborate with product development teams to map use cases
- Create prompt engineering frameworks
- Define MLOps model governance observability
- Design multi agent workflows for monitoring
- Develop semantic modeling workflows
- Establish LLM fine tuning pipelines
- Implement RAG systems
- Integrate engineering domain data
- Monitor and evaluate model accuracy and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Studio | API Integration | AWS | Amazon Web Services | Anomaly Detection | Apache Airflow | Apache Spark | Azure AI | Azure AI Studio | CI/CD | Deep learning | Docker | Faiss | Fine Tuning | Flask | GraphRAG | Knowledge graphs | Kubeflow | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | Learning operations | MLflow | Machine Learning | Machine Learning Operations | Microservices | Milvus | Model Governance | Model Monitoring | Multimodal AI | Natural Language | Natural Language Processing | Neo4j | Observability | Pinecone | Prompt engineering | Python | RAG | RDF | SQL | Semantic Modeling | Streamlit | Time Series | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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