AI Engineer, Senior - Enterprise Value Creation (NJUS)
Tasks
- Apply data governance policies to AI systems
- Build scalable secure AI architectures
- Collaborate with business and data teams
- Design AI/ML models
- Ensure model fairness and ethical standards
- Implement generative AI and predictive analytics
- Monitor deployed models in production
- Optimize AI/ML model performance
- Own AI project lifecycle from data ingestion to deployment
- Prototype and evaluate emerging AI technologies
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Flexible spending account
- Health savings account
- Medical insurance
- Paid time off
- Parental leave
- Vision insurance
- Wellness programs
Skills/Tech-stack
AWS | Azure | CI/CD | Data Engineering | Distributed Computing | Docker | Feature Engineering | GCP | Generative AI | Hugging Face | Kubernetes | LLMs | MLOps | Model Monitoring | Prompt engineering | PyTorch | Python | TensorFlow
Education
Roles
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