Analista MLOps
Tasks
- Build and maintain AI ML related APIs
- Deploy and maintain AI applications
- Design and execute ETL pipelines with Python and Spark
- Develop AI applications in production using Python
- Implement CI CD pipelines and code quality checks with GitHub Actions Sonar and Fortify
- Monitor and maintain applications in production
- Orchestrate containers and deployments with Kubernetes
- Write and run code tests with Pytest
Perks/Benefits
- Career development
- Continuous training
- Flexible hours
- Indefinite contract
- Remote work
- Social benefits
Skills/Tech-stack
API Development | AWS | Airflow | Amazon S3 | Apache Spark | Azure Functions | CI/CD | Cloudera | Control-M | Databricks | Durable Functions | Dynatrace | ETL | Elasticsearch | Fortify | Generative AI | Git | GitHub Actions | Kafka | Kibana | Kubeflow | Kubernetes | LLMOps | Langchain | MLflow | MongoDB | NLP | PostgreSQL | Power BI | Pytest | Python | RAG | SQL | Sonar | Step Functions | Terraform
Education
N/A
Roles
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