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Remote Google Machine Learning Engineer Jobs in Ohio

ERP Suites

AI & Mobile Product Manager

Loveland, OH · On-site +1

... machine learning, AI agents, automation, model governance, and responsible AI practices. Daily Activities: • Collaborate with engineering, data science, and design teams to review progress and ...

micro1 AI

Engineering AI Evaluator (PhD)

Columbus, OH · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Cushman & Wakefield

Applied AI Engineer

Cincinnati, OH · On-site +1

Success requires equal fluency in modern AI tooling (including machine learning, NLP, and ... Applied AI Engineer Role Overview The Applied AI Engineer is a hands-on builder who sits at the ...

New

Cushman & Wakefield

Applied AI Engineer

Cincinnati, OH · On-site +1

Success requires equal fluency in modern AI tooling (including machine learning, NLP, and ... The Applied AI Engineer embeds directly with operational leaders to translate real-world business ...

New

Cushman & Wakefield

Applied AI Engineer

Cincinnati, OH · On-site +1

Success requires equal fluency in modern AI tooling (including machine learning, NLP, and ... The Applied AI Engineer embeds directly with operational leaders to translate real-world business ...

New

Cushman & Wakefield

Applied AI Engineer

Cincinnati, OH · On-site +1

Success requires equal fluency in modern AI tooling (including machine learning, NLP, and ... The Applied AI Engineer embeds directly with operational leaders to translate real-world business ...

New

Cushman & Wakefield

Applied AI Engineer

Cincinnati, OH · On-site +1

Success requires equal fluency in modern AI tooling (including machine learning, NLP, and ... The Applied AI Engineer embeds directly with operational leaders to translate real-world business ...

New

Premier Health

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

... programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home ...

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Google Machine Learning Engineer information

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a Remote Google Machine Learning Engineer, and why are they important?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Ohio? The most popular types of Google Machine Learning Engineer jobs in Ohio are:
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What job categories do people searching Remote Google Machine Learning Engineer jobs in Ohio look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Ohio are:
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Remote Google Machine Learning Engineer jobs near you
Technical Content Expert - Advanced Engineering

Technical Content Expert - Advanced Engineering

micro1 AI

Columbus, OH • Remote

$80 - $90/hr

Part-time

Posted 15 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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