AI Engineer
Tasks
- Build APIs and data pipelines
- Collaborate with Data Scientists to productionize models
- Contribute to architecture decisions
- Deploy using deployment workflows
- Design scalable backend services
- Develop cloud-native applications on AWS
- Ensure code quality, testing, and observability
- Evaluate and benchmark AI models
- Fine-tune and optimize AI models
- Implement CI/CD pipelines
- Integrate AI/ML models into production systems
- Troubleshoot, debug, and optimize system performance
Perks/Benefits
Skills/Tech-stack
.Net Core | AI/ML | API Gateway | AWS Lambda | Amazon API | Amazon API Gateway | Amazon ECS | Amazon EKS | Amazon S3 | Automated testing | C# | CI/CD | Continuous integration | Docker | Embeddings | Fine Tuning | Hugging Face | JavaScript | Kubernetes | Langchain | Language Models | Large Language Models | Microservices | Model Evaluation | Node.js | Observability | OpenAI | RAG | REST APIs | Retrieval-Augmented Generation | Semantic Kernel | TypeScript | Vector Databases
Education
N/A
Roles
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