Postúlate en Kit Empleo: kitempleo.com.co/empleo/1asglv
**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- 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- 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
If it does not suit you, please share it with your colleagues.
Thanks!
Postúlate en Kit Empleo: kitempleo.com.co/empleo/1asglv