Remote Senior Ml Engineer — Aws, Mlops & Bi Solutions

Outlier; Quilmes; Remote; ARS 139,086,000 - 216,357,000; Full time

Job summary

Outlier is seeking an Applied ML Engineer (Senior) to lead the development and deployment of speech-to-text models for Brazilian Portuguese and Latin American Spanish, while contributing to LLM fine-tuning and medical classifiers.

This hands-on role focuses on taking models from experimentation to production, building scalable pipelines, and ensuring reliability for real-world AI products in a fast-paced environment.

Qualifications

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

Responsibilities

• 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

Skills

ML in production

ASR / speech ML

Python

LLMs / fine-tuning

Data pipelines

Collaboration

Ambiguity handling

Model deployment

Tools

PyTorch

Orchestration frameworks

Experiment tracking

GPU orchestration

Job description

Applied ML Engineer (Speech/ASR/LLMs) - Senior (Brazil / Argentina)

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:

• evaluation frameworks

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:

• 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

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.