Machine Learning Engineer (Python) - Remote Work | REF#308443

BairesDev; São Paulo; Remote; BRL 493,000 - 821,000; Full time

Benefits offered by this job

Remote work

Competitive USD pay

Home office setup

Flexible hours

Parental leave & holidays

Global team learning

Job summary

BairesDev is seeking a Machine Learning Engineer (Python) to design, train, and deploy ML models in production. You will build scalable pipelines, manage large datasets on Databricks, and optimize performance for real-world business value.

The role requires 4+ years of experience, advanced Python and DL framework skills, and strong English proficiency. This is a 100% remote position with flexible hours and ongoing mentorship and growth opportunities.

Qualifications

• 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering.
• Proven expertise in designing, training, and deploying ML models in production.
• Advanced proficiency in Python and DL frameworks (PyTorch/TensorFlow).
• Hands-on experience with Databricks for managing ML workloads.

Responsibilities

• Design and implement production-ready ML models and algorithms using Python.
• Build and optimize end-to-end ML pipelines including data preprocessing and feature engineering.
• Deploy models at scale using PyTorch or TensorFlow in production environments.
• Monitor model performance and retrain to handle data drift.
• Collaborate with cross-functional teams to align model architectures with business goals.

Skills

Python

Machine Learning

Deep Learning

Model deployment

Databricks

English (Advanced)

Tools

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 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!

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