AI Engineer
Tasks
- Assess data infrastructure and governance
- Collaborate with AI production team
- Define AI business case and ROI
- Design end-to-end AI solutions
- Develop AI ML prototypes and proofs of concept
- Evaluate AI readiness and recommend data improvements
- Identify client AI opportunities
- Research and evaluate AI advancements
- Translate client needs into AI problems
Perks/Benefits
- N/A
Skills/Tech-stack
BigQuery | Cloud Data Catalog | Cloud Functions | Cloud Storage | Data Catalog | Data Governance | Data Quality | Dataflow | Distributed Computing | Docker | Generative AI | Google Cloud | Google Cloud Data | Google Cloud Data Catalog | Great Expectations | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | MLflow | Metadata Management | Model Registry | Parallel processing | PyTorch | Python | Scikit-learn | TensorFlow | Vertex AI
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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