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Machine Learning Architect Jobs in Ohio (NOW HIRING)

Swanktek Inc

Machine Learning Engineer

Cincinnati, OH · On-site

Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/Google Cloud Platform, Docker ... Architect enterprise-scale ML systems and drive MLOps, automation, governance, and reliability ...

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Mimecast

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Understand and influence software architecture decisions to enable the delivery and analysis of ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Understand and influence software architecture decisions to enable the delivery and analysis of ...

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Experience developing repeatable architectural patterns; ability to identify redundancies and ...

ClifyX

AI/ML Senior Architect

Cincinnati, OH · On-site

ClifyX is seeking a highly experienced AI/ML Senior Architect to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions across various ...

Vertiv Co

AI Architect

Westerville, OH

$60.75 - $80/hr

Architect Generative AI solutions using the latest techniques such as retrieval augmented ... At least 7 years of experience in artificial intelligence, machine learning, or data science.

Vertiv Group Corp.

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Architect Generative AI solutions using the latest techniques such as retrieval augmented ... At least 7 years of experience in artificial intelligence, machine learning, or data science.

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All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Ohio

Machine Learning Architect information

See Ohio salary details

$44.2K

$122.4K

$191.6K

How much do machine learning architect jobs pay per year?

As of Jul 31, 2026, the average yearly pay for machine learning architect in Ohio is $122,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $157,800.00 per year, depending on experience, location, and employer.

What typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.

What does a Machine Learning Architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What are the key skills and qualifications needed to thrive in the Machine Learning Architect position, and why are they important?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What are popular job titles related to Machine Learning Architect jobs in Ohio? For Machine Learning Architect jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Architect jobs in Ohio look for? The top searched job categories for Machine Learning Architect jobs in Ohio are:
What cities in Ohio are hiring for Machine Learning Architect jobs? Cities in Ohio with the most Machine Learning Architect job openings:
Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in Ohio as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Temporary. Highlights an 75% In-person, 6% Hybrid, and 19% Remote job distribution, with an average salary of $122,408 per year, or $58.9 per hour.

Machine Learning Engineer

Swanktek Inc

Cincinnati, OH • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job description:
Primary Skills: Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/Google Cloud Platform, 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 Google Cloud Platform.
• 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.

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