Software Engineer (Machine Learning) - Remote Work | REF#300922

BairesDev; Chile; A distancia; CLP 82.267.000 - 118.830.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

USD compensation

Hardware and home setup

Flexible hours

Parental leave and vacations

Descripción de la vacante

BairesDev is seeking a Software Engineer specializing in Machine Learning to deploy and operate ML models in production, bridging data science with production engineering to build automated training pipelines and high-performance serving layers.

The role is 100% remote, with excellent compensation in USD. You will work with Python, PyTorch/TensorFlow, and ML lifecycle tools, ensuring reliability and observability across deployments.

Formación

• 4+ years of experience in Software Engineering with a focus on Machine Learning or MLOps.
• Proven expertise in deploying and operating ML models in production environments.
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Hands-on experience with ML lifecycle tools such as MLflow, SageMaker, or Vertex AI.
• Solid understanding of containerization using Docker to ensure model reliability.
• Advanced proficiency in English.

Responsabilidades

• Design and implement automated machine learning pipelines for model training, evaluation, and deployment.
• Build and maintain scalable model serving infrastructure using AWS SageMaker or GCP Vertex AI.
• Track experiments and manage model versioning using tools like MLflow or Weights & Biases.
• Containerize ML workloads with Docker to ensure portability across diverse environments.
• Optimize model performance and serving latency to ensure system reliability and observability.
• Integrate machine learning models into production software systems through robust software engineering practices.

Conocimientos

ML Ops

Python

DL Frameworks

MLOps Tools

Production ML

Herramientas

MLflow

SageMaker

Vertex AI

Docker

Descripción del empleo

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

As a Software Engineer specializing in Machine Learning, you will deploy and operate ML models in production, ensuring the scalability and reliability of AI-driven systems. You will act as a link between experimental data science and production engineering to build automated training pipelines and high-performance serving layers.

What You'll Do

• Design and implement automated machine learning pipelines for model training, evaluation, and deployment.
• Build and maintain scalable model serving infrastructure using AWS SageMaker or GCP Vertex AI.
• Track experiments and manage model versioning using tools like MLflow or Weights & Biases.
• Containerize ML workloads with Docker to ensure portability across diverse environments.
• Optimize model performance and serving latency to ensure system reliability and observability.
• Integrate machine learning models into production software systems through robust software engineering practices.

What We Are Looking For

• 4+ years of experience in Software Engineering with a focus on Machine Learning or MLOps.
• Proven expertise in deploying and operating ML models in production environments.
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Hands-on experience with ML lifecycle tools such as MLflow, SageMaker, or Vertex AI.
• Solid understanding of containerization using Docker to ensure model reliability.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!