Machine Learning Engineer (Python) - Remote Work

BairesDev; United States; Remote; CLP 88,063,000 - 127,202,000; Full time

Benefits offered by this job

100% remote work

Competitive USD or local currency pay

Hardware provided

Flexible hours

Paid parental leave

Job summary

BairesDev is a global technology company offering remote work opportunities with a strong emphasis on career development. We are seeking a Machine Learning Engineer (Python) to design, train, and deploy production ML models that deliver real business value.

The role focuses on building scalable ML pipelines, deploying models in production, and collaborating with cross-functional teams. Strong Python and DL framework experience, plus Databricks expertise, are required for success in this fully

Qualifications

• 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering.
• Strong Python and deep learning framework experience (PyTorch/TensorFlow).
• Experience designing, training, and deploying ML models in production.
• Hands-on Databricks experience in managing ML workloads.
• Excellent English communication skills.

Responsibilities

• Design and implement production-ready ML models and algorithms using Python.
• Build end-to-end ML pipelines covering data preprocessing, feature engineering, and model training.
• Deploy models at scale within production environments using PyTorch/TensorFlow.
• Manage and transform large datasets on platforms like Databricks to ensure data quality.
• Monitor model performance and retrain as data evolves.
• Collaborate with cross-functional teams to align model architectures with business goals.

Skills

Python

PyTorch

TensorFlow

ML pipelines

Model deployment

Databricks

English (Advanced)

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.