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Freelance Machine Learning Compiler Engineer Jobs in Ohio

Pinterest

We're hiring a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest. This role sits on the Merchant team and focuses on building AI/ML ...

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Flexjet

AI Engineer

Cleveland, OH

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data ...

New

Flexjet

AI Engineer

Cleveland, OH

DUTIES & RESPONSIBILITIES · Design and develop machine learning and deep learning models for real ... feature engineering, and data validation · Implement APIs and integrate AI models into existing ...

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Flexjet

AI Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data ...

Flexjet

AI Engineer

Cleveland, OH · On-site

Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data scientists, software ...

New

Skyline Scientific Inc

Software Engineer, Senior

Dayton, OH · On-site

$114K - $150K/yr

You also do not need to be a machine learning research scientist. You do need to be a strong coder, a clear thinker, and someone who is excited to work with scientists and engineers to build software ...

Skyline Scientific Inc

Software Engineer, Senior

Dayton, OH · On-site

$114K - $150K/yr

You also do not need to be a machine learning research scientist. You do need to be a strong coder, a clear thinker, and someone who is excited to work with scientists and engineers to build software ...

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All JobsMachine Learning Compiler Engineer JobsFreelance Machine Learning Compiler Engineer JobsFreelance Machine Learning Compiler Engineer Jobs in Ohio

Freelance Machine Learning Compiler Engineer information

What is the difference between Freelance Machine Learning Compiler Engineer vs Freelance Software Developer?

AspectFreelance Machine Learning Compiler EngineerFreelance Software Developer
Required SkillsMachine learning frameworks, compiler optimization, programming (C++, Python)General programming, software design, various languages
Work EnvironmentProject-based, remote, often technical teams in AI/ML industryVaried industries, remote or on-site, broad application areas
Industry UsageAI/ML companies, research labs, tech firmsTech, finance, healthcare, startups, enterprise

Freelance Machine Learning Compiler Engineers focus on optimizing ML models for deployment, requiring specialized knowledge in ML frameworks and compiler technology. Freelance Software Developers have broader roles across various industries, working on diverse software projects. Both roles are in high demand but differ in technical focus and industry application.

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Freelance Machine Learning Compiler Engineer jobs near you
Machine Learning Product owner

Machine Learning Product owner

TriOptus LLC

Cincinnati, OH • On-site

Full-time, Contractor

Re-posted 10 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