MLOps Engineer, Python, Cloud

Newton Vision Co.

. Build and maintain workflows for model deployment, versioning, and monitoring .

Posted 9/24/2026full-timeRemote • ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deploying and maintaining machine learning models in production environments, utilizing strong Python skills and CI/CD practices. Proficient in collaborating with cross-functional teams to enhance model performance and reliability within cloud platforms.

Highest-signal resume keywords

Machine Learning Model DeploymentCI/CD PracticesPython ProgrammingCloud Platform ExperienceModel Monitoring and Versioning

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine Learning Model DeploymentPython ProgrammingCI/CD PracticesModel MonitoringVersioning Practices

Tools & Technologies

GitDockerAWSAzureGCPMLflowVertex AISageMakerKubernetes

Industry Keywords

Model TrackingAutomated Model RetrainingLLM Applications

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Build and maintain workflows for model deployment, versioning, and monitoring
Automate machine learning processes using CI/CD practices
Collaborate with data scientists and engineers to move models from experimentation to production
Monitor model performance and troubleshoot issues with production workflows
Document processes and improve the reliability of the ML infrastructure

Requirements

What you’ll need

Hands-on experience deploying or maintaining machine learning models in production
Strong Python skills
Experience with CI/CD, Git, and containerization using Docker
Experience with at least one cloud platform: AWS, Azure, or GCP
Familiarity with model tracking, versioning, and monitoring practices
Experience with MLflow, Vertex AI, SageMaker, or a comparable platform (nice to have)
Experience with Kubernetes or automated model retraining (nice to have)
Experience supporting LLM applications in production (nice to have)

Benefits

Comp & perks

Remote work arrangement