Senior MLOps Engineer: Scale AI, Remote, Equity

Factored; Mexico; Hybrid; PHP 7,524,000 - 11,285,000; Full time

Benefits offered by this job

Equity participation

Education bonus

Company-wide winter break

Paid time off

Optional in-person events

Job summary

Factored is seeking a Senior MLOps Engineer to join a fully remote team building and maintaining AI products for clients. You will deploy models, design automated training and deployment pipelines, and manage infrastructure for scalable ML workloads.

The role emphasizes collaboration with data scientists and engineers while ensuring compliance and security. We offer equity participation, education bonuses, a company-wide winter break, and paid time off.

Qualifications

• Experience deploying ML models to production.
• Strong grasp of ML algorithms and modeling.
• Proficiency with cloud platforms (AWS/GCP/Azure).
• Experience with CI/CD for ML workflows.
• Excellent English communication.

Responsibilities

• Deploy machine learning models to production environments.
• Design and implement automated workflows for model training, testing, and deployment.
• Manage and optimize the infrastructure supporting ML workloads.
• Establish monitoring systems for deployed models to ensure performance and reliability.
• Collaborate with data scientists, software engineers, and cross-functional teams to meet model requirements and business objectives.
• Ensure compliance with industry regulations and data protection standards.
• Stay updated on ML ops innovations and integrate relevant technologies.
• Continuously optimize processes to reduce deployment times.

Skills

MLOps

Python

Kubernetes

Docker

Cloud

Education

BS/MS in CS or Eng

Tools

TensorFlow

PyTorch

scikit-learn

Airflow

Kubeflow

Docker

Kubernetes

Job description

Factored is seeking a Senior MLOps Engineer to join a fully remote team building and maintaining AI products for clients. You will deploy models, design automated training and deployment pipelines, and manage infrastructure for scalable ML workloads.

The role emphasizes collaboration with data scientists and engineers while ensuring compliance and security. We offer equity participation, education bonuses, a company-wide winter break, and paid time off.