Data Scientist (AI Engineer)
Tasks
- Apply analytical problem solving for AI ML challenges
- Apply new tools and frameworks for client prototypes
- Assess data maturity and governance
- Build interactive AI ML prototypes
- Collaborate with AI production teams on scalable design
- Demonstrate prototype results and business value
- Design and develop AI/ML Proof-of-Concepts
- Facilitate technical handovers to production teams
- Prepare production handover documentation
- Research and evaluate emerging AI/ML technologies
- Support model deployment for production use
- Transition validated prototypes to hardening phase
- Translate business needs into AI/ML requirements
Perks/Benefits
- N/A
Skills/Tech-stack
BigQuery | Cloud Data Catalog | Cloud Functions | Cloud Storage | Cloud platform | Data Catalog | Data Governance | Data Quality | Dataflow | Docker | Generative AI | Google Cloud | Google Cloud Data | Google Cloud Data Catalog | Google Cloud Platform | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | MLflow | Model Registry | PyTorch | Python | Scikit-learn | TensorFlow | Vertex AI
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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