Senior Machine Learning Engineer (Computer Vision) - Remote Work

BairesDev; Brasil; Remote; BRL 607,000 - 910,000; Full time

Benefits offered by this job

100% remote work

Competitive USD compensation

Hardware provided

Flexible schedule

Mentorship and growth opportunities

Job summary

BairesDev is seeking a Senior Machine Learning Engineer (Computer Vision) to develop and enhance advanced visual AI systems and data pipelines for autonomous applications. You will translate complex algorithms into scalable production solutions with high accuracy and reliability.

Responsibilities include designing CV models, optimizing architectures, and building real-time data pipelines. The role requires deep learning expertise, strong Python skills, and collaboration with global teams to

Qualifications

• 4+ years of experience in Machine Learning Engineering, Computer Vision, or Applied ML.
• Proven expertise in building CV models and data pipelines for autonomous systems.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.

Responsibilities

• Design and implement computer vision models for object detection and image segmentation.
• Develop and optimize deep learning architectures for visual recognition tasks.
• Build and maintain scalable data pipelines for real-time visual data in production.
• Support data mining and training data quality initiatives to improve model performance.
• Collaborate with cross-functional teams to integrate visual AI features into ecosystems.
• Evaluate and refine model performance for efficiency and scalability across use cases.

Skills

ML Engineering

Computer Vision

Data pipelines

Python

SQL

English

Tools

PyTorch

TensorFlow

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.

Senior Machine Learning Engineer (Computer Vision) at BairesDev

As a Machine Learning Engineer (Computer Vision), you will develop and enhance advanced visual AI systems and data pipelines for autonomous applications. You will translate complex computer vision algorithms into scalable production solutions, ensuring high accuracy and reliability in real-world scenarios.

What you'll Do:

• Design and implement computer vision models for object detection and image segmentation
• Develop and optimize deep learning architectures to solve complex visual recognition challenges
• Build and maintain scalable data pipelines to process real-time visual data for production environments
• Support data mining and training data quality initiatives to improve model performance
• Collaborate with cross-functional teams to integrate visual AI features into broader ecosystems
• Evaluate and refine model performance to ensure efficiency and scalability across diverse use cases.

What we are looking for:

• 4+ years of experience in Machine Learning Engineering, Computer Vision, or Applied ML.
• Proven expertise in building and improving computer vision models and data pipelines for autonomous systems.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with data mining, training data quality, and model development for real-world ML applications.
• Strong understanding of SQL and scalable data pipeline architectures.
• 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.