Technical Architect, AI/ML
Tasks
- Build deploy machine learning pipelines
- Collaborate with product, engineering, and marketing
- Conduct knowledge transfer for customers
- Coordinate with customer teams and System Integrators
- Create SQL Python API proof of concepts
- Deploy and monitor machine learning models
- Design AI ML solutions on Snowflake
- Present to technical and executive audiences
- Resolve customer technical challenges
Perks/Benefits
Skills/Tech-stack
API | AWS SageMaker | Agentic Frameworks | Amazon Web Services | Apache Spark | Azure | Azure Machine Learning | Cloud platform | DataRobot | Dataiku | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | H2O | Jupyter | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Development | Model Management | Pandas | PySpark | PyTorch | Python | Retrieval | SQL | Scikit-learn | TensorFlow | Vector Databases | Vertex AI | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Architect | Engineer | Technical Architect
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