Senior Computer Vision ML Engineer - Remote

BairesDev; United States; Remote; MXN 1,676,000 - 2,421,000; Full time

Benefits offered by this job

100% remote work

Competitive compensation in USD or лок

Home workstation provided

Flexible hours

Paid parental leave

Mentorship and growth opportunities

Job summary

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

Join a global, 100% remote team and help deliver cutting-edge solutions for diverse use cases while collaborating with cross-functional teams across the company.

Qualifications

• 4+ years of ML engineering, CV, or applied ML experience.
• Proven ability to build CV models and data pipelines for autonomous systems.
• Proficiency in Python and DL frameworks such as PyTorch or TensorFlow.
• Hands-on experience with data mining, data quality, and real-world ML applications.
• Strong SQL and scalable data pipeline understanding.
• Advanced proficiency in English.

Responsibilities

• Design and implement computer vision models for object detection and image segmentation.
• Develop and optimize deep learning architectures to solve visual recognition challenges.
• Build and maintain scalable data pipelines to process real-time visual data for 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

Machine Learning

Computer Vision

Python

SQL

English

Tools

PyTorch

TensorFlow

Job description

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

Join a global, 100% remote team and help deliver cutting-edge solutions for diverse use cases while collaborating with cross-functional teams across the company.