Applied ML Engineer (Speech/ASR/LLMs) - Senior ?
Remote – Colombia ? 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 – Colombia Preference for candidates in Medellín, Colombia.
Full-time ? Note This is an applied ML engineering role,

📌 Applied ML Engineer (Antioquia)
🏢 Talent Connect
📍 Antioquia