Principal AI Engineer
Atlanta, GA, United States
USD 155K-194K (estimate) Senior-level Full Time
Tasks
- Collaborate with product managers and data engineers
- Define AI technology strategy
- Design AI/ML architectures
- Develop machine learning, deep learning, and generative AI models
- Ensure ethical AI governance
- Evaluate emerging AI technologies
- Implement model explainability fairness privacy compliance
- Integrate AI methods into products and platforms
- Lead model development for production
- Manage model lifecycle
- Mentor AI engineers and data scientists
- Monitor model performance and drift
- Optimize model accuracy efficiency scalability reliability
- Oversee model deployment
- Set engineering standards and best practices
- Translate requirements into AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Airflow | Amazon Web Services | Apache Spark | BERT | Bitbucket | CNN | Cloud Computing | Cloud platform | Computer Vision | Confluence | Data Pipelines | Deep learning | Docker | Docker containerization | ETL | ETL systems | Fairness | Fine Tuning | GAN | GPT | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | Jira | Jira Software | Kubernetes | Kubernetes orchestration | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Context Protocol | Model Deployment | Model Explainability | Model Monitoring | Natural Language | Natural Language Processing | Privacy | PyTorch | Python | RNN | Regulatory Compliance | Scikit-learn | ServiceNow | SharePoint | TensorFlow | Transformers | Waterfall | Web Services
Education
N/A
Roles
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