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Temporary Computer Vision Deep Learning Engineer Jobs in West Chester, OH

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

... computer vision, and Generative AI solutions. • Design feature stores, model registries ... learning and deep learning solutions. • Strong expertise in Python and libraries such as ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

... e.g., machine learning, algorithms, neural networks, computer vision, robotics) to develop AI ... models (NLP, LLMs, Deep learning etc); * Technical proficiency in programming languages and ...

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... learning models for classification, regression, NLP, or computer vision tasks. • Write clean ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

AI Engineer

Cincinnati, OH · On-site

$50K - $112K/yr

... networks and deep learning methods for advanced AI applications - Managing data quality and ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...

... deep learning and neural network methodologies to optimize AI model performance - Managing data ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...

New

... e.g., machine learning, algorithms, neural networks, computer vision, robotics) to develop AI ... models (NLP, LLMs, Deep learning etc); * Technical proficiency in programming languages and ...

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Temporary Computer Vision Deep Learning Engineer information

See West Chester, OH salary details

$45.8K

$114.6K

$129.7K

How much do temporary computer vision deep learning engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for temporary computer vision deep learning engineer in West Chester, OH is $114,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $124,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Computer Vision Deep Learning Engineer vs Computer Vision Engineer?

AspectTemporary Computer Vision Deep Learning EngineerComputer Vision Engineer
CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related; experience with computer vision tools
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time, ongoing roles in tech companies, startups, or research labs
Industry UsageCommon in consulting, research projects, or temporary assignmentsStandard role in product development, AI solutions, and software engineering

The main difference is that a Temporary Computer Vision Deep Learning Engineer works on short-term projects focusing on deep learning techniques for computer vision, while a Computer Vision Engineer typically holds a permanent position involved in ongoing development of computer vision applications. The temporary role emphasizes flexibility and project-specific skills, whereas the full-time role involves continuous integration into a company's long-term projects.

What job categories do people searching Temporary Computer Vision Deep Learning Engineer jobs in West Chester, OH look for? The top searched job categories for Temporary Computer Vision Deep Learning Engineer jobs in West Chester, OH are:

Machine Learning Engineer

Ruri Software Technologies LLC

Cincinnati, OH • On-site

Full-time

Posted yesterday

New


Job description

Job Title :Machine Learning Engineer (Senior Level)
Location :- Onsite: Cincinnati
Job Description:
Primary Skills: Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/GCP, Docker, Kubernetes

Required Skills
• Strong Python expertise with NumPy, Pandas, Scikit-learn.
• Hands-on experience with TensorFlow and/or PyTorch.
• Experience building and deploying ML solutions on AWS, Azure, or GCP.
• Knowledge of ML pipelines, model evaluation, CI/CD, version control, and MLOps practices.
• Strong understanding of ML system design, performance optimization, and monitoring.
Preferred Skills
• Experience with MLflow, SageMaker, Azure ML or similar MLOps platforms.
• Knowledge of Docker, Kubernetes, Spark, or Ray.
• Experience with LLMs, Deep Learning, Transformers, Vector Databases, and ML Governance.
• Prior experience leading ML projects or mentoring teams.
Key Responsibilities
• Design, build, deploy, and maintain ML models and end-to-end ML pipelines.
• Perform data preparation, feature engineering, model training, evaluation, and optimization.
• Deploy and monitor models in production, including model drift detection and retraining.
• Collaborate with data engineering, DevOps, and business teams to deliver scalable ML solutions.
• Architect enterprise-scale ML systems and drive MLOps, automation, governance, and reliability initiatives.
• Mentor engineers, provide technical leadership, and evaluate emerging AI/ML technologies.
Years of Experience: 12.00 Years of Experience
Regards
Surya
surya@rurisoft.com