AI Engineer, Senior - Enterprise Value Creation (NJUS)
Tasks
- Adhere to data governance policies
- Automate workflows with AI
- Build scalable AI architecture
- Collaborate with analysts
- Collaborate with business leaders
- Collaborate with data engineers
- Deploy AI systems in production
- Design AI/ML models
- Develop generative AI solutions
- Develop predictive analytics solutions
- Ensure AI system security
- Ensure ethical AI standards
- Ensure model fairness standards
- Ensure model performance standards
- Evaluate emerging AI technologies
- Implement MLOps practices
- Ingest data for AI training
- Monitor AI models in production
- Optimize AI/ML models
- Own AI project lifecycle
- Prototype AI solutions
- Train machine learning models
- Translate ideas into production applications
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Medical insurance
- Paid time off
- Parental Leave of Absence
- Vision insurance
- Wellness programs
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Containerization | Data Engineering | Data Governance | Distributed Computing | Docker | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Predictive Analytics | Prompt engineering | PyTorch | Python | TensorFlow
Education
Roles
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