AI Engineer – Python & Snowflake
Tasks
- Build AI data pipelines
- Build APIs and microservices
- Build feature engineering frameworks
- Deploy machine learning models
- Design AI data platforms
- Develop Python backend systems
- Ensure data governance and security
- Ensure system observability
- Evaluate emerging AI technologies
- Monitor machine learning models
- Operationalize AI solutions with MLOps
- Optimize Snowflake architecture
- Prepare structured and unstructured datasets
- Support RAG pipelines
Perks/Benefits
- Career growth
- Continuous learning
- Flexible work environment
- Inclusive culture
- Professional development
Skills/Tech-stack
API Development | AWS | Airflow | Azure | Data Modeling | ELT | ETL | Embeddings | Feature Engineering | GCP | Generative AI | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Prefect | Python | Retrieval-Augmented Generation | SQL | Snowflake | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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