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 São Paulo
or Medellín (not mandatory) Full-time ? Note Thi

📌 Applied ML Engineer (Buenos Aires)
🏢 Talent Connect
📍 Buenos Aires