Principal AI Engineer
Tasks
- Build AI models with embedding pipelines and retrieval frameworks
- Build and optimize LLMOps pipelines
- Define project milestones timelines and delivery
- Design and co own generative AI ML system architecture
- Design automated retraining and fine tuning pipelines
- Develop maintain coding standards and documentation
- Ensure ethical AI with fairness accountability and transparency
- Integrate AI features into products
- Lead design develop and deploy AI ML solutions
- Lead experimentation with new algorithms
- Lead technical mentorship and code reviews
- Manage preprocess and secure large datasets
- Provide hands on technical leadership and coding
Perks/Benefits
- 401k employer matching
- Charitable matching program
- Community outreach groups
- Dental insurance
- Flexible paid time off
- Health insurance
- Life insurance
- Parental leave
- Tuition reimbursement
- Vision insurance
- Wellness resources
- Workout facilities
Skills/Tech-stack
Azure | CI/CD | Context Management | Docker | Embedding | Generative AI | Huggingface | Kubernetes | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | NLTK | Natural Language | Natural Language Processing | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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