Mlops
Tasks
- Architect cloud solutions for AI ML workloads
- Automate infrastructure provisioning with Infrastructure-as-Code
- Build and manage ML platforms on AWS
- Deploy and scale containerized services
- Deploy and scale large language models
- Ensure compliance for regulated industries
- Implement MLOps and DevOps pipelines
- Implement security controls for cloud platforms
- Optimize LLM inference performance
- Set up CI CD for ML model releases
- Support model monitoring and retraining
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | AWS CDK | AWS CloudFormation | AWS CodePipeline | AWS Lambda | Amazon EC2 | Amazon ECS | Amazon EKS | Amazon IAM | Amazon RDS | Amazon S3 | Amazon SageMaker | Amazon VPC | Batching | CI/CD | Caching | Docker | GitHub Actions | GitLab CI | Graph Databases | Infrastructure as Code | Jenkins | Kubernetes | LLM Deployment | Language Models | Large Language Models | MLOps | Machine Learning | Milvus | Model Monitoring | Model retraining | Neo4j | Pinecone | Quantization | Terraform | Vector Databases | Weaviate | “as-code”
Education
N/A
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