MLOps Engineer (AWS)
New
D
DaCodesSoftware Development
Mexico City, Mexico City, Mexico. Mexico. Colombia. Argentina. Chile, Horario ajustado a la célula de trabajo/proyecto asignadoFull-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 3–5 años
- Required Skills
- AWSDockerPythonGitMachine LearningCI/CDCloudFormationMLOps
Requirements
- 3–5 years experience in MLOps, DevOps, or ML infrastructure roles.
- Demonstrable experience maintaining ML pipelines in production on AWS.
- Solid Python 3.12 skills (pandas, Polars, numpy, scikit-learn, XGBoost).
- Proficiency with AWS services: Lambda, S3, IAM, CloudWatch, Step Functions, SageMaker, ECR.
- Experience with Docker build and debug.
- CI/CD experience (Azure DevOps, GitHub Actions, or GitLab CI).
- IaC proficiency (SAM / CloudFormation).
- Experience with Git and pytest.
- Proactive profile and ability to work autonomously.
Responsibilities
- Operate and maintain production demand forecasting and scheduling platform.
- Ensure reliable ML pipeline performance on AWS.
- Identify and resolve incidents proactively.
- Manage model deployments using Docker, CI/CD, and IaC tools.
- Refactor and improve existing Python code.
- Monitor services and pipelines via CloudWatch.
- Collaborate with data science team for production integration.
- Conduct code reviews and maintain documentation.
View Full Description & ApplyYou'll be redirected to the employer's site
