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Machine Learning Object Detection Jobs in Ohio (NOW HIRING)

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Design, develop, and implement machine learning and deep learning models * Build and optimize model ... Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Design, develop, and implement machine learning and deep learning models * Build and optimize model ... Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site

Design, develop, and implement machine learning and deep learning models * Build and optimize model ... Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R ...

Leidos

Machine Learning Engineer

Beavercreek, OH

$87.10K - $157.45K/yr

As a Machine Learning Engineer, you will apply your skills to a wide variety of problems and ... Current projects include, but are not limited to, detection, tracking, data fusion, and ...

Leidos

Machine Learning Engineer

Beavercreek, OH · On-site

$87.10K - $157.45K/yr

As a Machine Learning Engineer, you will apply your skills to a wide variety of problems and ... Current projects include, but are not limited to, detection, tracking, data fusion, and ...

Varsity Tutors

Machine Learning Tutor

Columbus, OH · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Akron, OH · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Cleveland, OH · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Cincinnati, OH · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

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Machine Learning Object Detection information

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Ohio? For Machine Learning Object Detection jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Ohio look for? The top searched job categories for Machine Learning Object Detection jobs in Ohio are:
What cities in Ohio are hiring for Machine Learning Object Detection jobs? Cities in Ohio with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
AI/ML Engineer (Active TS/SCI )

AI/ML Engineer (Active TS/SCI )

Rackner

Dayton, OH • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Job Title: AI/ML Engineer

Location: Dayton, OH and Remote
Employment Type: Full-Time

Clearance requirements: TS/SCI

About the Role

Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

Key Responsibilities

  • Design, develop, and implement machine learning and deep learning models
  • Build and optimize model architectures including CNNs, RNNs, and transformer-based models
  • Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN)
  • Perform feature engineering and prepare high-quality datasets for training and evaluation
  • Create and maintain AI/ML training runbooks and documentation
  • Collaborate with data engineers and software teams to integrate models into production systems
  • Ensure reproducibility through data versioning and metadata standards
  • Continuously evaluate and improve model performance and scalability

Required Qualifications

  • Strong proficiency in designing and implementing model architectures, including:
    • Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs)
    • Transformer-based architectures
    • Large Language Models (LLMs)
    • Object Detection models (e.g., YOLO, Faster R-CNN)
  • Hands-on experience with:
    • PyTorch and/or TensorFlow
    • Hugging Face, Ollama, or similar frameworks
  • Experience with data engineering concepts, including:
    • Feature engineering and dataset preparation
    • Data versioning tools (e.g., lakeFS)
    • Metadata standards such as STAC
  • Ability to create clear and effective AI/ML training runbooks
  • Strong problem-solving skills and ability to work in a collaborative environment

Preferred Qualifications

  • Experience deploying models in cloud-native environments
  • Familiarity with DevSecOps practices
  • Experience working with large-scale or federal datasets
  • Understanding of MLOps principles and pipelines

Benefits & Perks

  • Weekly pay with full remote flexibility
  • Professional growth investment, including paid certifications and training
  • Comprehensive benefits package, including:
    • Medical, dental, and vision coverage
    • 401(k) with 100% company match up to 6%
    • Paid time off (PTO)
    • Life and disability insurance
    • Home office equipment plan
  • A supportive, inclusive team culture focused on collaboration, trust, and mission impact

About Rackner

Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.

We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.

Our teams solve high-impact problems that advance federal missions and strengthen national readiness.

Join us to help shape the future of secure, scalable data systems supporting mission success.

Apply