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

ClifyX

AI/ML Senior Architect

Cincinnati, OH · On-site

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

Varsity Tutors

Machine Learning Tutor

Cincinnati, OH · Remote

$40/hr

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

Tata Consultancy Services

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 ...

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All JobsComputer Vision Deep Learning Engineer JobsTemporary Computer Vision Deep Learning Engineer JobsTemporary Computer Vision Deep Learning Engineer Jobs in West Chester, OH

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 Sep 11, 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.

Temporary Computer Vision Deep Learning Engineer jobs near you

Machine Learning Engineer

Cincinnati, OH • On-site

Ruri Software Technologies LLC
Software Development • 11 - 50 employees
Learn more about Ruri Software Technologies LLCexternal

Full-time

Re-posted 13 days ago

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

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