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Remote Edge Ai Machine Learning Jobs in Ohio (NOW HIRING)

Statheros

About Us Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy ... Experience : * 4+ years of professional experience in machine learning, with a focus on ...

ERP Suites

AI & Mobile Product Manager

Loveland, OH · On-site +1

Although the position will be remote, there might be some occasional travel to ERP Suites ... Core Competencies: • Product strategy and roadmap development • AI, machine learning ...

Varsity Tutors

Machine Learning Tutor

Columbus, OH · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Machine Learning Tutor

Akron, OH · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Machine Learning Tutor

Cincinnati, OH · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Machine Learning Tutor

Cleveland, OH · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Edge Ai Machine Learning information

What is the difference between Remote Edge Ai Machine Learning vs Data Scientist?

AspectRemote Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, CS, or related fields; strong analytical skills
Work EnvironmentRemote, often on edge devices or IoT systemsTypically office or remote, analyzing data in cloud or on-premises
Industry UsageAI development, IoT, autonomous systemsBusiness analytics, research, product development

Remote Edge Ai Machine Learning specialists focus on deploying ML models on edge devices, often requiring knowledge of embedded systems. Data Scientists analyze large datasets to extract insights, usually working in cloud environments. While both roles require strong ML fundamentals, their work environments and application areas differ significantly.

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Remote Edge Ai Machine Learning jobs near you

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

On-site, Remote

Contractor

Posted 18 days ago

Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.

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