Blend360 is hiring : Lead Machine Learning Engineer in Montevideo

Overview

We are seeking a Machine Learning Engineer with strong expertise in MLOps and Data Engineering to join our team. This role involves working closely with Data Scientists and MLOps specialists to design, implement, and maintain machine learning systems and pipelines in a production environment. You will be responsible for supporting end-to-end ML workflows, ensuring scalability, reliability, and efficiency in deployed models.

The ideal candidate will have a solid understanding of the machine learning lifecycle , experience in AWS cloud services (particularly SageMaker ), and the ability to build and maintain CI / CD pipelines for ML workloads.

Responsibilities

• Collaborate with Data Scientists to operationalize ML models and integrate them into production systems.
• Design, build, and maintain MLOps pipelines for model deployment, monitoring, and retraining.
• Develop and manage ETL workflows and data pipelines to support ML processes.
• Implement infrastructure as code solutions (preferably AWS CloudFormation or Terraform).
• Work with AWS services such as SageMaker , Lambda , Step Functions , DynamoDB , and others.
• Use Docker for containerization and manage cloud-based deployments.
• Perform queries on Snowflake as needed for data analysis and validation.
• Ensure best practices for scalability, performance, and security in ML systems.
• Take a leadership role in guiding technical decisions and mentoring when required.

Qualifications

Languages

You will need excellent written and verbal English for clear and effective communication with the team.

Experience

In order to thrive in this role, you must have at least 5+ years of experience in similar roles.

Our Perks and Benefits

Learning Opportunities :

Travel opportunities to attend industry conferences and meet clients.

Mentoring and Development :

Celebrations & Support :

Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

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