Remote Senior Computer Vision ML Engineer – Flexible Hours

BairesDev; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote work—100%

Competitive salary in USD

Home office setup provided

Flexible hours

Paid parental leave and vacations

Mentorship and growth opportunities

Global, multicultural team

Job summary

BairesDev is seeking a Machine Learning Engineer (Computer Vision) to 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.

You will design and implement computer vision models, build scalable data pipelines, and collaborate with cross-functional teams to integrate visual AI features into broader

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Machine Learning

Computer Vision

Data Pipelines

English Proficiency

Tools

PyTorch

TensorFlow

SQL

Job description

BairesDev is seeking a Machine Learning Engineer (Computer Vision) to 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.

You will design and implement computer vision models, build scalable data pipelines, and collaborate with cross-functional teams to integrate visual AI features into broader