Machine Learning Engineer (Python) - Remote Work

BairesDev; United States; Remote; CLP 66,922,000 - 114,723,000; Full time

Benefits offered by this job

Remote work 100%

USD or local currency compensation

Hardware and software setup for home

Job summary

BairesDev is seeking a Machine Learning Engineer (Python) to design, train, and deploy models in production. You will build scalable ML pipelines and collaborate with global teams to transform research into real-world impact.

Work 100% remotely, with compensation in USD or local currency, and a supportive environment that encourages mentorship and growth across the Top 1% of tech talent. You’ll work with Python, PyTorch, TensorFlow, and Databricks to deliver end-to-end ML capabilities across

Qualifications

• 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering.
• Proven expertise in designing, training, and deploying machine learning models in production environments.
• Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with Databricks for managing and scaling machine learning workloads.
• Strong background in optimizing model performance and ensuring production system scalability.
• Advanced proficiency in English.

Responsibilities

• Design and implement production-ready machine learning models and algorithms using Python.
• Build and optimize end-to-end ML pipelines, covering data preprocessing, feature engineering, and model training.
• Deploy models at scale using frameworks like PyTorch and TensorFlow within production environments.
• Manage and transform large datasets on platforms like Databricks to ensure data quality and reliability.
• Monitor model performance and accuracy in production, implementing retraining strategies to handle data drift.
• Collaborate with cross-functional teams to align model architectures with business goals and infrastructure requirements.

Skills

Python

PyTorch

TensorFlow

English

Production ML

Tools

Databricks

Job description

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.

Machine Learning Engineer (Python) at BairesDev

As a Machine Learning Engineer (Python), you will design, train, and deploy machine learning models into production environments. You will ensure the transition from research to execution by building scalable and high-performance systems that deliver real-world business value.

What You'll Do:

• Design and implement production-ready machine learning models and algorithms using Python.
• Build and optimize end-to-end ML pipelines, covering data preprocessing, feature engineering, and model training.
• Deploy models at scale using frameworks like PyTorch and TensorFlow within production environments.
• Manage and transform large datasets on platforms like Databricks to ensure data quality and reliability.
• Monitor model performance and accuracy in production, implementing retraining strategies to handle data drift.
• Collaborate with cross-functional teams to align model architectures with business goals and infrastructure requirements.

What we are looking for:

• 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering.
• Proven expertise in designing, training, and deploying machine learning models in production environments.
• Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with Databricks for managing and scaling machine learning workloads.
• Strong background in optimizing model performance and ensuring production system scalability.
• 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 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.