Machine Learning Engineer - Computer Vision

Dormont Manufacturing Co; Arlington (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive Salary

Stock Option

Medical, Dental, and Vision Insurance

401K

Paid Vacation

Ten paid holidays per year

Friendly and Learning environment

Job summary

Dormont Manufacturing Co in Arlington, Texas, is looking for a skilled Machine Learning Engineer specializing in Computer Vision. The successful candidate will design and deploy advanced models for tasks involving object detection, facial recognition, and more.

Responsibilities include optimizing machine learning algorithms and collaborating with teams to integrate AI solutions. An ideal fit will have a degree in Computer Science or related fields, with strong skills in Python, C++, and familiarity with deep learning libraries.

The position offers a competitive salary, stock options, and a collaborative work environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Data Science.
• Experience in developing and deploying deep learning models.
• Strong programming skills in Python and C++.
• Familiarity with data manipulation tools such as Pandas and NumPy.
• Strong understanding of machine learning algorithms.

Responsibilities

• Design and deploy computer vision models for various tasks.
• Optimize deep learning algorithms for real-time performance.
• Collaborate with software engineers and product teams for integration.
• Collect and preprocess datasets for model training.
• Monitor and evaluate deployed models for performance.

Skills

Deep learning models

Computer Vision

Python

C++

Data manipulation (Pandas, NumPy, SQL)

MLOps principles

Model deployment (AWS, Azure, Google Cloud)

Real-time performance optimization

Collaboration skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Transformers/Huggingface tools

Docker

Kubernetes

Git

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.

Key Responsibilities:

• 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.

Required Qualifications:

• 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.

Great 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.

Benefits:

• Competitive Salary
• Stock Option
• Medical, Dental, and Vision Insurance
• 401K
• Paid Vacation
• Ten paid holidays per yearFriendly and Learning environment