Machine Learning Operations Engineer - Remote

Overview

We are seeking an experienced Machine Learning Operations Engineer to join our dynamic team and help build and maintain robust machine-learning pipelines for our US clients.

In Short

• Work with a fully remote team from anywhere in Latin America.
• Collaborate with data scientists, ML engineers, and data engineers.
• Automate the end-to-end ML lifecycle.
• Develop and maintain CI/CD pipelines for ML models.
• Monitor and optimize the performance of deployed models.
• Implement best practices for version control and documentation.
• Troubleshoot ML model deployment issues.
• Stay updated with advancements in ML Ops tools.
• Flexible working hours and schedule.
• Salary in USD.

Requirements

• Bachelor’s degree in computer science or related field.
• Proven experience in ML Ops, DevOps, or related roles.
• Experience with big data technologies like Hadoop and Spark.
• Familiarity with ML frameworks and tools.
• Strong programming skills in Python, Java, Scala, or Go.
• Excellent problem-solving and communication skills.
• Experience with Atlassian tools like Jira and Confluence.
• Self-motivated with the ability to work independently.
• Flexibility to adapt to changing priorities.
• Strong sense of personal responsibility.

Benefits

• Salary in USD.
• Flexible schedule within US Time zones.
• 100% Remote working environment.