Applied AI Engineer
Tasks
- Architect AI solutions
- Build AI agents
- Deploy AI solutions
- Design ML pipelines
- Develop ETL/ELT pipelines
- Develop and optimize machine learning solutions
- Implement data validation
- Maintain SLA observability
- Monitor AI systems
- Optimize system performance
- Own end to end lifecycle from prototype to production
- Partner with customer data science teams
- Translate business objectives into scalable solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Cloud platform | Data Modeling | Data Pipelines | Data Validation | ELT | ETL | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Learning models | MLOps | Machine Learning | Machine Learning Models | Model Deployment | Model Evaluation | Model Monitoring | NumPy | Pandas | Performance Tuning | Python | RAG | SQL | Snowpark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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