Principal AI Engineer
Tasks
- Address data privacy security and bias
- Build Retrieval Augmented Generation systems
- Coach and mentor team members
- Deploy AI models and algorithms
- Design AI models and systems
- Develop AI transparency and accountability policies
- Develop ML pipelines for batch and stream processing
- Develop NLP and LLM model solutions
- Ensure AI system robustness scalability performance
- Implement ethical AI practices
- Integrate AI models into production systems
- Lead ML NLP LLM development
- Stay updated on AI research advancements
- Support stakeholder communication
Perks/Benefits
- Dental insurance
- Health benefits
- Holiday leave
- Medical insurance
- Paid parental leave
- Paid time off
- Personal time
- Retirement savings plan
- Vision insurance
- Volunteer leave
- Wellness support
Skills/Tech-stack
Agentic Systems | Agile frameworks (SAFe) | Agile project management | Batch Processing | Cloud Platforms | Data Engineering | Data Preprocessing | Fine Tuning | Human-in-the-loop | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Model Distillation | Natural Language | Natural Language Processing | Project Management | Python | Retrieval-Augmented Generation | Scaled Agile | Scaled Agile Frameworks | Scaled Agile frameworks SAFe | Stream processing | The Loop
Education
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