Expert, AI Engineer
CAD 80K-131K (estimate) Senior-level Full Time
Tasks
- Apply AI governance security privacy controls
- Automate AI workflows
- Build and deploy generative AI solutions
- Build and optimize data pipelines
- Conduct quality evaluation and red teaming
- Deploy and monitor AI solutions
- Design AI applications and agents
- Develop prompt engineering and model evaluation
- Develop reusable AI APIs and services
- Document designs decisions and operational requirements
- Implement retrieval-augmented generation
- Integrate AI solutions with enterprise systems
- Mitigate hallucinations
- Troubleshoot AI systems
Perks/Benefits
Skills/Tech-stack
AI Pipelines | API Development | Autogen | CI/CD | Cloud platform | CrewAI | Data Governance | Data Lineage | Data Quality | Databricks | Delta Lake | Docker | Embeddings | FastAPI | Gemini Enterprise | Git | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Google Vertex AI Pipelines | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Metadata Management | Model Evaluation | Model Risk Management | Model risk | Observability | Privacy | Prompt engineering | PySpark | Python | RAG | REST | Responsible AI | Risk Management | SQL | Security | Streamlit | Testing | Unity Catalog | Vector Search | Vertex AI | Vertex AI pipelines
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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