Senior Machine Learning Ops Engineer - Remote

Overview

As a Senior Machine Learning Ops Engineer, you will design and build large-scale architectures, workflows, tools, and automation for processing data and apply machine learning engineering to solve global business challenges.

In Short

• Join a close-knit LATAM remote team with fun activities.
• Champion autonomy and open communication.
• Support for well-being from the People Care team.
• Work on end-to-end machine learning solutions.
• Manage and automate the machine learning lifecycle.
• Collaborate with data engineers and data scientists.
• Work on cloud solutions and evaluate architectures.
• Communicate and teach on how to use developments.
• Enjoy competitive salary and benefits.
• Participate in team-building activities.

Requirements

• Bachelor's Degree in Computer Science or related field.
• 5+ years of experience in machine learning solutions.
• 5+ years of advanced Python programming experience.
• 3+ years of experience with SQL and Spark.
• 3+ years of experience in cloud environments (AWS or GCP).
• Knowledge of containerization tools (Docker) and orchestration tools (Kubernetes).
• Experience with version control systems, preferably Git.
• Strong communication skills and advanced English level required.
• Ability to troubleshoot complex software system issues.
• Experience with workflow orchestration tools like Airflow.

Benefits

• 100% remote work.
• Paid time off according to country regulations.
• National holidays celebrated.
• Sick leave provided.
• Refundable annual credit for work-life balance perks.
• Birthday day off.
• Team-building activities and coffee breaks.
• Wellness check-ins and support from the People Care team.
• Opportunity to connect with teammates at coworking spaces.
• Competitive salary in USD.