Senior Machine Learning Engineer (MLOps)

Location: Argentina, Uruguay, or Brazil; remote

Company

hirify.global designs and delivers scalable digital solutions for global companies, leading complex software initiatives end-to-end.

What you will do

• Architect and develop robust, end-to-end machine learning solutions.
• Manage and automate the complete machine learning lifecycle from development through production.
• Deploy scalable machine learning models and maintain the technical health of ML systems.
• Evaluate cloud architectures for performance and cost-efficiency across AWS and GCP.
• Collaborate with data engineers, data scientists, and software teams on complex integrations.
• Mentor teams, communicate technical concepts clearly, and promote adoption of new developments.

Requirements

• Bachelor’s degree in software engineering or computer science, or equivalent experience in data engineering or machine learning.
• Hands-on experience implementing and deploying machine learning solutions in production.
• Advanced knowledge of Python, SQL, and Spark.
• Strong knowledge of Docker, Git, Bash scripting, FastAPI, SageMaker Studio, Airflow, and CloudFormation or similar tools.
• Solid understanding of data architectures, complex systems integration, and troubleshooting software systems.
• Extensive experience with AWS and GCP, plus strong communication and teamwork skills.

Nice to have

• Experience with payments or other complex financial systems.

Culture & Benefits

• Long-term contract engagement with significant autonomy and impact.
• Strategic, high-visibility role within a modern engineering culture.
• Opportunity to influence MLOps, scalable data architecture, and cloud cost-efficiency strategy.
• Collaborative international team with strong technical leadership.
• Flexible, dynamic, and fast-paced work environment.