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Machine Learning Architect Jobs in Ohio (NOW HIRING)

JPMorganChase

Senior Lead Architect

Columbus, OH · On-site

... machine learning, mobile, etc.) • Ability to tackle design and functionality problems ... state architecture • Adds to team culture of diversity, opportunity, inclusion, and respect ...

Premier Health

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Premier Health is looking for an experienced Senior Data Architect to enrich our team. This role ... Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home ...

Premier Health

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Premier Health is looking for an experienced Senior Data Architect to enrich our team. This role ... Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home ...

JPMorganChase

Senior Lead Architect

Columbus, OH · On-site

... machine learning, mobile, etc.) • Ability to tackle design and functionality problems ... Architecture-as-Code • Experience with AI/ML tools to assist in software definition ...

Total Quality Logistics

AI Architect

Cincinnati, OH · On-site

As an AI Architect at TQL, you will define and lead the enterprise-wide AI architecture that powers ... Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ...

Deloitte

AI Data Engineer Manager

Columbus, OH · On-site

... Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect • 5 + years of experience in Data Science, Statistics, and Machine Learning • 5+ years of ...

Deloitte

AI Data Engineer - Manager

Cincinnati, OH · On-site

... Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect • 5 + years of experience in Data Science, Statistics, and Machine Learning • 5+ years of ...

Databricks

Solutions Architect, Retail - CPG

Cincinnati, OH · On-site

$61.50 - $81/hr

Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA ...

Deloitte

AI Data Engineer - Manager

Columbus, OH · On-site

... Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect • 5 + years of experience in Data Science, Statistics, and Machine Learning • 5+ years of ...

Databricks

Solutions Architect, Retail - CPG

Columbus, OH · On-site

$60.75 - $80.25/hr

Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA ...

Deloitte

Software Product Architect

Cincinnati, OH · On-site

Engage with customers and product teams to deliver the right architectural solution and machine learning models for the product in the right way at the right time. Incremental and Iterative Delivery:

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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 May 29, 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 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 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.
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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 May 2026, with employment types broken down into 72% Full Time, 27% Part Time, and 1% Temporary. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $122,408 per year, or $58.9 per hour.

AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data(10030)

Extreme Networks

New Hampshire, OH

Full-time

Posted 2 days ago

Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.

Position : AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data
Experience : 5 to 14 Years
Hybrid/Remote
 
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. 
About the position
  • Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
  • Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
  • Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.
  • Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.
  • Mentor and develop other engineers on the team, establish technical direction and foster team culture.
  • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.
Basic Qualifications:
  • Degree in mathematics/computer science or related discipline.
  • 5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 5 to 10 years of experience in Python with an in-depth knowledge of its advanced features and libraries.
  • Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.
  • Proficient in Docker, Kubernetes, and modern CI/CD practices.
  • 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience as a mentor, tech lead or leading an engineering team.
Preferred Qualifications:
  • MS or PhD in Computer Science or equivalent experience in ML.
  • Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
  • Experience with NoSQL and document databases.
  • Proven ability to handle big data, optimize workflows, and improve system performance.
  • Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
 
  • Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.