AI & Cloud Engineering
Tasks
- Build AI-powered automation
- Build and maintain APIs and microservices
- Build data security and governance
- Build machine learning pipelines
- Build scalable AWS architectures
- Create infrastructure as code
- Deploy models to production
- Design machine learning models
- Develop NLP and LLM integrations
- Develop chatbots and recommendation engines
- Fine-tune and optimize models
- Implement CI/CD and testing
- Implement RAG architectures
- Implement access controls and audit logging
- Implement security and compliance controls
- Integrate AI APIs into applications
- Monitor model drift
- Support HIPAA compliance
- Support SOC 2 compliance
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS CDK | AWS CloudFormation | AWS Lambda | AWS SageMaker | AWS Step Functions | Access Control | Amazon API | Amazon API Gateway | Amazon EC2 | Amazon S3 | Audit Logging | CI/CD | CloudTrail | Deep learning | Docker | Encryption | Generative AI | Git | GuardDuty | HIPAA | Hugging Face | IAM | KMS | Kubernetes | LLM | Langchain | MLOps | Machine Learning | NLP | NoSQL | OpenAI API | Python | RAG | SOC 2 | SQL | Security Hub | Step Functions | Terraform | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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