Senior MLOps Engineer — Remote & Scalable ML Pipelines

Muttdata; Argentina; A distancia; ARS 3.000.000 - 6.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first culture

In-Company English Lessons.

Wellhub stipend

Certifications covered (AWS/GCP/Azure/

Databricks certifications

Descripción de la vacante

Mutt Data is seeking a Senior MLOps Engineer to join our remote data products and machine learning team. You will industrialize, deploy, monitor, and scale ML models in production, driving reliability and end-to-end traceability.

You’ll partner with data scientists, data engineers, and business stakeholders to build robust ML platforms, CI/CD pipelines, and model governance across the lifecycle. Remote-first, we offer English sessions, learning stipends, and certifications coverage, plus annual

Formación

• Advanced Python and SQL proficiency for ML workflows.
• Experience with Spark / PySpark and Databricks.
• Strong CI/CD, Git, and MLflow for model lifecycle.
• Hands-on Docker, Kubernetes, and Azure Cloud experience.
• Ability to implement model monitoring and observability in production.

Responsabilidades

• Industrialize, deploy, and scale ML models into production environments.
• Design and maintain training, inference, and retraining pipelines end-to-end.
• Build and maintain CI/CD pipelines for ML workflows, ensuring smooth releases; implement model tracking, versioning, and registry with MLflow.
• Develop and expose APIs for model serving, ensuring performance and scalability.
• Orchestrate workflows and jobs on Databricks (Workflows, Jobs, Repos).
• Containerize ML applications with Docker and support deployment on Kubernetes-based infrastructure.
• Implement model governance and versioning for traceability across the ML lifecycle.
• Collaborate with Data Scientists, Data Engineers, and stakeholders to align solutions with business needs.
• Promote MLOps best practices and modern ML architecture across the team.

Conocimientos

Python

SQL

Spark PySpark

CI/CD & Git

MLflow

Docker

Kubernetes

Azure Cloud

Monitoring/Observability

MLOps principles

Production deployment

Herramientas

Databricks

Descripción del empleo

Mutt Data is seeking a Senior MLOps Engineer to join our remote data products and machine learning team. You will industrialize, deploy, monitor, and scale ML models in production, driving reliability and end-to-end traceability.

You’ll partner with data scientists, data engineers, and business stakeholders to build robust ML platforms, CI/CD pipelines, and model governance across the lifecycle. Remote-first, we offer English sessions, learning stipends, and certifications coverage, plus annual