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Machine Learning Specialist Jobs in Ohio (NOW HIRING)

Forhyre

OH

$117.30K - $151.60K/yr

... of generative AI and machine learning? Join us in driving strategic alignment, fostering ... specialists to foster collaboration and innovation. * Build strong partnerships with regional ...

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$19.5K

$51.3K

$92.2K

How much do machine learning specialist jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning specialist in Ohio is $51,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,100.00 and $57,500.00 per year, depending on experience, location, and employer.

What is a Machine Learning Specialist job?

A Machine Learning Specialist is a professional who designs, develops, and implements machine learning models and algorithms to solve complex problems. They work with large datasets, use statistical and computational techniques, and optimize models for accuracy and efficiency. Their role often involves data preprocessing, feature engineering, model selection, and deployment. They collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into business applications.

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

To thrive as a Machine Learning Specialist, you need a strong background in mathematics, programming (Python, R), and data analysis, typically supported by a relevant degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and knowledge of cloud platforms like AWS or Azure is highly valued, and certifications in these can enhance your qualifications. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly make someone stand out in this field. These skills and qualifications are crucial for effectively developing, deploying, and explaining machine learning solutions to diverse stakeholders.

What are some common challenges a Machine Learning Specialist might face in this role?

Machine Learning Specialists often encounter challenges such as ensuring data quality, selecting appropriate algorithms, and scaling solutions for real-world application. Navigating the complexities of messy or incomplete datasets and tuning models for optimal performance can be demanding. Balancing innovation with practical deployment constraints, such as computational resources and integration with existing systems, is also common. To address these challenges, collaboration with data engineers, domain experts, and product teams is essential, and ongoing professional development helps specialists stay ahead in this rapidly evolving field.
More about Machine Learning Specialist jobs
What are popular job titles related to Machine Learning Specialist jobs in Ohio? For Machine Learning Specialist jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Specialist jobs in Ohio look for? The top searched job categories for Machine Learning Specialist jobs in Ohio are:
Machine Learning Specialist jobs near you
Machine Learning Product owner

Machine Learning Product owner

TriOptus LLC

Cincinnati, OH • On-site

Full-time, Contractor

Posted 24 days ago

Job description

Location: Remote (Preference for candidates near Cincinnati, OH or Atlanta, GA)
? Work Model: Hybrid (3 days onsite if converted)
? Employment Type: W2 Contract
? Industry: Financial Services / Payments
Position Overview
We are seeking an experienced Agile Product Owner Specialist to join a high-impact Data Science, ML, and AI team. This role will support the development of innovative, customer-facing products for merchants, with a strong focus on payment optimization and intelligent transaction processing.
You will work across multiple agile teams and play a key role in driving AI/ML-powered product initiatives from concept to delivery.
Key Responsibilities
  • Act as Product Owner for ML/AI-driven products across multiple agile teams
  • Define product vision, roadmap, and backlog aligned with business objectives
  • Collaborate with data scientists, engineers, and stakeholders to deliver scalable AI solutions
  • Translate business requirements into user stories, acceptance criteria, and technical requirements
  • Drive product development for solutions such as smart retry systems and tokenization platforms
  • Ensure alignment between technical execution and business value
  • Participate in agile ceremonies and support continuous product improvement
  • Required Qualifications
  • Proven experience as a Product Owner in Agile environments
  • Strong background in Machine Learning and AI-driven products
  • Experience working with cross-functional data science and engineering teams
  • Solid understanding of product lifecycle and backlog management
  • Strong communication and stakeholder management skills
  • Preferred Qualifications
  • Experience in payments, merchant acquiring, payment service providers, or card networks
  • Background in financial services industry
  • Familiarity with tokenization, payment optimization, and authorization flows
  • Technical Environment
  • Machine Learning / AI
  • Databricks
  • Python
  • SQL
  • AWS
Interview Process
Round 1: Introduction + Problem Solving
Round 2: Technical Interview
(Potential 3rd round if required)
Job Description:
Position summary:
  • Client is seeking an experienced Senior ML Product Owner to join our Data Science & AI team.
  • The products we've deployed to date drive billions of dollars in economic value for our customers annually and we're just getting started.
  • Candidate will serve as the product owner for a cross-functional agile team responsible for end-to-end development of ML/AI products in a high-visibility product area, ensuring that the team's work is optimally and visibly aligned with business needs.
  • This is a contract position with a six month term but has the potential to transition into a full-time role in the future based on performance and business needs.
Key Responsibilities:
Product Vision and Strategy
  • Define and communicate a product vision and roadmap for ML/AI-powered solutions aligned with clearly articulated business objectives.
  • Translate business objectives into well?scoped ML/AI product opportunities, balancing desirability and feasibility.
Backlog Management and Delivery
  • Own and prioritize the product backlog, ensuring clarity of requirements for cross-functional teams.
  • Write detailed user stories, acceptance criteria, and ML/AI-specific requirements (e.g., data availability, model performance thresholds).
  • Partner with technical teams to ensure timely, high-quality delivery of product increments, surfacing impediments early.
Cross-Functional Collaboration
  • Serve as the primary liaison between business stakeholders (product managers and line of business stakeholders) and technical teams, ensuring alignment through high-bandwidth communication and facilitation.
  • Collaborate with researchers to shape model goals (e.g., accuracy, latency, explainability) and engineers to ensure scalable deployment, monitoring, and lifecycle management.
  • Ensure products comply with governance, privacy, and responsible AI guidelines.
Analytics, Impact, and Continuous Improvement
  • Define success metrics and work with analytics teams to measure model and product performance.
  • Analyze user feedback, model outputs, and usage patterns to iterate and improve ML features.
  • Champion a culture of experimentation, A/B testing, and data-driven decision-making.
  • Proactively identify risks, dependencies, and constraints affecting delivery.
Act Like an Owner:
  • Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.
  • Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.
Qualifications:
  • 5 plus years of experience as a Product Owner, Product Manager, or related role.
  • Background in data science, ML/AI research or engineering, or data analytics.
  • Understanding of statistical concepts, machine learning concepts (e.g. supervised/unsupervised learning, evaluation metrics, model lifecycle), and GenAI/Agentic AI concepts (e.g. RAG, embeddings and vector search, guardrails, orchestration frameworks).
  • Proficiency in SQL databases.
  • Experience working with ML/AI teams building customer-facing products.
  • Demonstrated ability to convert ambiguous problems into structured product initiatives with clear business value.
  • Experience in an agile environment.
  • Excellent communication, leadership, and stakeholder management skills.
Preferred Qualifications:
  • Experience in a merchant acquiring, payment service provider, or card network environment.
  • Familiarity with tokenization, real-time payments, and the authorization lifecycle.
  • Experience in a large, complex organization in a highly regulated industry.
Note:
  • What this position will be supporting: payment optimization product development / auth uplift
  • Remote (Y/N): either (ideally near an office or willing to relocate if convert)
  • If onsite, please provide address: target offices if convert: Cincinnati, Atlanta
  • Duration: 6 months
  • Potential to convert and/or extend: yes

Apply