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We’re looking for an Applied ML Engineer to lead the development and operationalization of machine learning models powering real-world AI products.

The primary focus of the role will be building and improving speech-to-text (ASR) systems for medical conversations in Brazilian Portuguese and Latin American Spanish, while also contributing to LLM fine-tuning, clinical classifiers, and production ML infrastructure.

This is a highly hands-on role focused on taking models from experimentation to production.

What you’ll do

Design, train, fine-tune, and deploy ML models for speech and language applications
Build and maintain training pipelines and evaluation frameworks
Work on ASR systems for domain-specific medical conversations
Develop and improve data pipelines and ML infrastructure
Collaborate on LLM fine-tuning and classifier development
Optimize model performance, reliability, and scalability
Partner with product and domain teams to translate business needs into ML solutions
Contribute to production deployment and monitoring of ML systems

What we’re looking for

Strong experience building and operationalizing ML models in production
Hands-on experience with:
- ASR / speech models / audio ML
- PyTorch or modern ML frameworks
- ML infrastructure and distributed training
Experience building:
- training pipelines
- evaluation frameworks
- production ML workflows
Strong programming skills in Python
Ability to work independently in ambiguous environments
Experience collaborating across technical and non-technical teams

Nice to have

Experience with:
- LLM fine-tuning
- orchestration frameworks
- clinical or healthcare data
Experience building data flywheels or feedback loops
Experience with GPU orchestration and experiment tracking
Fluency in Portuguese and/or Spanish

Work model

Remote – Americas
Preference for candidates located near São Paulo or Medellín (not mandatory)
Full-time

Note

This is an applied ML engineering role, not a pure research position. We are looking for builders who can take models from experimentation through deployment and production operation.

How to apply

Please apply directly following the link.

If it does not suit you, please share it with your colleagues.

Thanks!

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