Machine Learning Engineer (Python) - Remote Work

BairesDev; United States; Remote; CLP 117,417,000 - 176,125,000; Full time

Benefits offered by this job

100% remote work

Competitive USD salary

Home-office setup provided

Flexible hours

Paid parental leaves

Mentorship and growth opportunities

Job summary

BairesDev® in Chile is seeking a Machine Learning Engineer (Python) to design, train, and deploy models in production. You will turn research into scalable systems that deliver real-world business value.

You will work remotely with a diverse team, using Python, PyTorch/TensorFlow, and Databricks to build end-to-end pipelines, monitor performance, and iterate with data-driven feedback. This role offers flexible hours, home-office setup, and opportunities to grow within a multicultural, top-tier

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

4+ years experience

Advanced English

Tools

Python

PyTorch

TensorFlow

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.