Applied ML Engineer (Speech/ASR/LLMs) - Senior
Remote – Argentina/Brazil
Full-time
About the role
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 S

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