Machine Learning Engineer - Computer Vision Jobs

CaseGuard

Location:
United States, Arlington

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges.

Job Responsibility:

Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition
Optimize and fine-tune deep learning algorithms for real-time performance
Work closely with the software engineers and product teams to identify opportunities for leveraging data
Collect, clean, and preprocess large datasets to prepare for model training and evaluation
Evaluate and optimize machine learning models for accuracy, performance, and scalability
Deploy models into production environments and monitor their performance to ensure reliability
Stay up-to-date with the latest advancements in computer vision and artificial intelligence
Collaborate with cross-functional teams to integrate machine learning solutions into business processes
Document processes, models, and implementations to ensure reproducibility and scalability

Requirements:

Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools
Experience with data manipulation tools such as Pandas, NumPy, and SQL
Strong programming skills in Python and C++
Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm
Proficiency in working with image and video data, including preprocessing and augmentation techniques
Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning
Strong communication skills and the ability to work collaboratively in a team environment

Nice to have:

Familiarity with containerization and orchestration tools like Docker and Kubernetes
Experience with version control systems such as Git
Understanding software engineering best practices, including code review, testing, and documentation
Experience with Large Language Models (LLMs) is a great plus
Experience with data annotation tools and processes

What we offer:

Competitive salary
Comprehensive health and wellness benefits
Professional development opportunities and continuous learning programs
Collaborative and inclusive work environment

Additional Information:

Job Posted:
December 07, 2025

Work Type:

On-site work

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Machine Learning Engineer - Computer Vision