AI Engineer
Tasks
- Align AI initiatives with data governance security and privacy
- Architect scalable and cyber resilient AI ML solutions
- Build and iterate AI prototypes and production systems
- Collaborate with cross functional teams to ensure secure resilient delivery
- Contribute to CI CD pipelines and engineering standards
- Deploy models via REST APIs
- Design and operate agent driven workflow systems
- Design develop and maintain production AI ML code
- Document model documentation architectural diagrams and compliance records
- Identify and evaluate high-value AI use cases
- Implement AI governance frameworks and ethical AI practices
- Integrate AI solutions with enterprise systems
- Monitor evaluate and optimize deployed AI model performance
- Operationalize AI models into workflows and customer experiences
- Provide post-deployment support and continuous improvement
- Serve as AI SME during sales cycle
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | C# | CI/CD | Cloud Computing | Cloud platform | Data Governance | Databricks | DevOps | Distributed Systems | Embedding Models | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Java | JavaScript | Kubernetes | LLM orchestration | MLOps | MLflow | Microservices | Model Monitoring | Privacy | Prompt engineering | Python | RAG | REST API | SQL | SageMaker | Security | TypeScript | Vector Databases | Vector Search | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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