Machine Learning/MLOps
Mexico City, Mexico City, Mexico (Hybrid)
R
MXN 174K-174K (estimate) Mid-level Full Time
Tasks
- Build AWS infrastructure using infrastructure as code
- Build and maintain embedding components knowledge bases and knowledge graphs
- Define approval and deployment standards for machine learning and generative AI
- Define model versioning reproducibility and traceability standards
- Design build and scale MLOps and LLMOps platform
- Develop and maintain microservices
- Develop serverless event-driven architectures
- Implement automated evaluation frameworks for agents and generative models
- Implement automated pipelines for training evaluation deployment and monitoring
- Implement incident alerting and early detection mechanisms
- Implement monitoring for models and agents
- Implement security guardrails and controls for AI systems
- Support compliance audits for models in production
Perks/Benefits
- 100 percent nominal contract
- Career development plan
- Direct employment
- Superior legal benefits
- Training
Skills/Tech-stack
API Gateway | AWS CDK | AWS CloudFormation | AWS Lambda | AWS Secrets | AWS Secrets Manager | Agile | Amazon API | Amazon API Gateway | Amazon DynamoDB | Amazon ECS | Amazon RDS | Amazon S3 | Azure Key Vault | Bitbucket | CI/CD | CloudWatch | Confluence | Datadog | Datadog APM | Docker | Docker Compose | Elastic | Git | GitHub | GitHub Actions | GitLab | GitLab CI | Grafana | Integration Testing | JMeter | JUnit | JWT | Jenkins | Jest | Jira | Kanban | Key Vault | Kubernetes | Load Testing | MongoDB | MySQL | Node.js | OAuth2 | PostgreSQL | Prometheus | Pytest | Python | REST APIs | Redis | SQL Server | Scrum | Secrets Manager | Secure Coding | Slack | Terraform | Unit Testing | Vault | XUnit
Education
N/A
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