Machine Learning Engineer - Computer Vision

Placements24; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Health benefits

Learning opportunities

Collaborative culture

Job summary

Placements24 is seeking a talented Machine Learning Engineer specialized in Computer Vision to develop and deploy CV models for image recognition and object detection. You will work on real-time applications and contribute to scalable ML pipelines in a fully remote setup.

You will apply cutting-edge techniques with OpenCV, TensorFlow, and PyTorch, collaborating with engineers to ensure production-ready solutions and ongoing research into new CV methods.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing and deploying computer vision models using frameworks like OpenCV, TensorFlow, or PyTorch.
• Strong understanding of image processing techniques and deep learning architectures for vision.
• Proficiency in Python programming and experience with ML libraries.
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML model deployment.

Responsibilities

• Develop, train, and deploy machine learning models for computer vision tasks such as image classification, object detection, and segmentation.
• Optimize model performance and inference speed for real-time applications.
• Design and implement robust data pipelines for training and evaluating computer vision models.
• Collaborate with software engineers to integrate ML models into production environments.
• Conduct research into new computer vision techniques and algorithms to enhance product capabilities.
• Maintain and improve existing ML systems for scalability and reliability.

Skills

Python

OpenCV

TensorFlow

PyTorch

Computer Vision

Cloud platforms

Data pipelines

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a talented and motivated Machine Learning Engineer with a specialization in Computer Vision to join their innovative team in George . In this role, you will be at the forefront of developing and deploying advanced computer vision models that power next-generation products and services. You will work on challenging projects involving image recognition, object detection, and video analysis, contributing directly to the company's technological advancements. This position offers an exciting opportunity to apply cutting-edge ML techniques in a dynamic, growth-oriented company that values creativity and technical expertise.

Key Responsibilities

• Develop, train, and deploy machine learning models for various computer vision tasks, including image classification, object detection, and segmentation.
• Optimize model performance and inference speed for real-time applications.
• Design and implement robust data pipelines for training and evaluating computer vision models.
• Collaborate with software engineers to integrate ML models into production environments.
• Conduct research into new computer vision techniques and algorithms to enhance product capabilities.
• Maintain and improve existing ML systems, ensuring scalability and reliability.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing and deploying computer vision models using frameworks like OpenCV, TensorFlow, or PyTorch.
• Strong understanding of image processing techniques and deep learning architectures for vision.
• Proficiency in Python programming and experience with ML libraries.
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML model deployment.
• Ability to work effectively in a fast-paced, collaborative team setting.

Benefits

• Competitive salary package with potential for bonuses.
• Fully remote work arrangement offering excellent flexibility.
• Comprehensive health and wellness benefits.
• Opportunities for continuous learning and professional growth.
• Access to a collaborative and innovative work culture.