AI Engineer, Principal
Tasks
- Apply ethical AI principles
- Automate workflows with AI
- Build and train deep learning models
- Deploy AI solutions to cloud and on premise
- Design machine learning models
- Develop NLP solutions
- Develop generative AI solutions
- Develop predictive analytics
- Ensure HIPAA compliance
- Implement MLOps workflows
- Improve inference efficiency
- Integrate AI models into existing systems
- Monitor AI model performance
- Optimize model accuracy and efficiency
- Perform feature engineering
- Preprocess healthcare data
- Test AI solutions
- Train AI models
Perks/Benefits
- Educational assistance
- Flexible vacation policy
- Fully remote work
- Leadership development academies
- Technical development academies
Skills/Tech-stack
AWS | Apache Spark | Azure | Cloud Computing | Cloud platform | Deep learning | Generative AI | Google Cloud | Google Cloud Platform | Hadoop | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | NoSQL | Predictive Analytics | Prompt engineering | PyTorch | Python | SQL | TensorFlow
Education
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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