Applied AI Engineer
Tasks
- Build generative AI solutions
- Deploy AI models to production
- Develop AI model pipelines
- Document AI models and pipelines
- Ensure AI security and compliance
- Evaluate generative AI technologies
- Fine-tune generative AI models
- Monitor model performance
- Operationalize AI workloads on AWS
- Optimize model cost efficiency
- Optimize model reliability
- Perform code reviews
- Perform feature engineering using Snowflake
- Preprocess training data
- Support AI architecture reviews
- Test AI models in production
- Troubleshoot model issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lambda | AWS SageMaker | Amazon ECS | Amazon EKS | Amazon S3 | CI/CD | Data Preprocessing | Docker | ELT | ETL | Feature Engineering | Generative AI | Hugging Face | Hugging Face Transformers | Kubernetes | Language Models | Large Language Models | MLOps | Model Monitoring | Model Testing | PyTorch | Python | Retrieval-Augmented Generation | Security Compliance | Snowflake | TensorFlow | Transformers
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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