AI/ML Engineer (R-00194)
Tasks
- Build and deploy AI/ML models
- Design AI/ML solutions
- Develop APIs and services for AI ML integration
- Develop data pipelines for model training and inference
- Evaluate model performance and retrieval quality
- Implement generative AI and RAG workflows
- Maintain technical documentation
- Monitor and optimize deployed models
- Operationalize AI ML solutions in cloud environments
- Troubleshoot model behavior and data quality issues
Perks/Benefits
- 401k match
- Cell phone reimbursement
- Certification support
- Health insurance
- Home internet reimbursement
- Maternity leave
- Paid Holidays
- Paid time off
- Paternity leave
- Training reimbursement
Skills/Tech-stack
API Development | AWS GovCloud | Automated testing | CI/CD | Docker | Embeddings | Feature Engineering | FedRAMP | Foundation Models | Generative AI | LLM Evaluation | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Training | Model selection | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Retrieval | Source Control | Supervised Learning | Unsupervised Learning | Vector Databases | Vector Search | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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