Applied ML Engineer - Remote Work | REF#300921

BairesDev; Chile; A distancia; CLP 109.689.000 - 164.534.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD compensation

Home setup for work from home

Flexible hours

Paid parental leaves & holidays

Global collaboration and mentorship

Growth opportunities

Descripción de la vacante

BairesDev is hiring an Applied ML Engineer to deploy and operate machine learning models in production, focusing on scalable training pipelines and reliable serving systems. You will connect data science experimentation with production-ready engineering to enable robust ML solutions.

The role offers 100% remote work, excellent compensation in USD or local currency, and a supportive environment with mentorship and growth opportunities across a global Top 1% talent pool.

Formación

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• Proven expertise in training and deploying production-grade ML models using PyTorch or TensorFlow.
• Hands-on experience with experiment tracking and model management using MLflow or Weights & Biases.
• Proficiency in cloud ML platforms such as AWS SageMaker or GCP Vertex AI.
• Strong knowledge of containerization with Docker to ensure model serving reliability.
• Advanced proficiency in English.

Responsabilidades

• Design and implement automated machine learning training pipelines using Python and PyTorch or TensorFlow.
• Deploy and manage model serving infrastructure on cloud platforms such as AWS SageMaker or GCP Vertex AI.
• Standardize the ML lifecycle using experiment tracking and model management tools like MLflow or Weights & Biases.
• Containerize ML models and workloads with Docker to maintain consistency across environments.
• Monitor production models to ensure high reliability and optimal performance of inference systems.

Conocimientos

Python

PyTorch

TensorFlow

Docker

English

Herramientas

MLflow

Weights & Biases

AWS SageMaker

GCP Vertex AI

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 an Applied ML Engineer, you will deploy and operate machine learning models in production, focusing on the efficiency of training pipelines and the reliability of serving systems. You will connect data science experimentation with production-ready engineering to ensure scalable and robust ML solutions.

What You'll Do

• Design and implement automated machine learning training pipelines using Python and PyTorch or TensorFlow.
• Deploy and manage model serving infrastructure on cloud platforms such as AWS SageMaker or GCP Vertex AI.
• Standardize the ML lifecycle using experiment tracking and model management tools like MLflow or Weights & Biases.
• Containerize ML models and workloads with Docker to maintain consistency across different environments.
• Monitor production models to ensure high reliability and optimal performance of inference systems.

What We Are Looking For

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• Proven expertise in training and deploying production-grade ML models using PyTorch or TensorFlow.
• Hands-on experience with experiment tracking and model management using MLflow or Weights & Biases.
• Proficiency in cloud ML platforms such as AWS SageMaker or GCP Vertex AI.
• Strong knowledge of containerization with Docker to ensure model serving 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!