AI Engineer
Tasks
- Build machine learning services and APIs
- Build scalable full-stack systems
- Coach mentor engineers and data scientists
- Define AI architecture roadmap for support workflows
- Deploy and maintain cloud-native applications
- Deploy and orchestrate containers
- Design event-driven architectures
- Design safety privacy governance controls for generative AI
- Develop backend microservices and integrations
- Implement CI/CD pipelines
- Implement observability and model monitoring
- Implement safe RAG and LLM systems
- Implement testing strategies for applications
- Instrument KPIs and drive iterative improvements
- Integrate AI components with enterprise platforms
- Lead model lifecycle and MLOps
- Manage infrastructure as code
- Prototype evaluate and productionize ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SNS | AWS SNS/SQS | Apache Kafka | Azure DevOps | Azure Resource | Azure Resource Manager | Bicep | CI/CD | Cucumber | Data Pipelines | Deep learning | Docker | Feature Engineering | Fine Tuning | GitHub Actions | Go | Hibernate | JUnit | Java | JavaScript | Jenkins | Kafka | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Mockito | Model Evaluation | Model Monitoring | Model Training | Natural Language | Natural Language Processing | Next.js | Node.js | Observability | Prompt engineering | Python | React | Resource manager | Retrieval-Augmented Generation | SNS/SQS | SQL | Selenium | Solace | Spring Boot | Terraform | TestNG | Transformers | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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