Senior Principal, AI Engineer
Tasks
- Apply MLOps best practices
- Automate workflows using AI
- Design build and train machine learning models
- Develop and deploy generative AI solutions
- Develop and deploy natural language processing solutions
- Ensure HIPAA compliance and data privacy
- Implement AI solutions in cloud and on premises environments
- Integrate AI models into existing technology stack
- Lead AI delivery
- Monitor and optimize model accuracy and efficiency
- Perform data preprocessing and feature engineering
Perks/Benefits
- Educational assistance
- Flexible work arrangement
- Generous vacation policy
- Leadership development programs
- Technical development academies
Skills/Tech-stack
AWS | Apache Spark | Azure | CMS | Cloud platform | Computer Vision | Deep learning | Generative AI | Google Cloud | Google Cloud Platform | HIPAA | Hadoop | LLM | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | NoSQL | Prompt engineering | PyTorch | Python | SQL | TensorFlow
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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