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Remote Competitive Intelligence Jobs in Ohio (NOW HIRING)

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 ...

Assistant Buyer-HYBRID

Columbus, OH · On-site +1

$19.25 - $25.50/hr

Provide competitive intelligence, trend observations, pricing insights, and style analysis. Buying ... We offer hybrid and remote work opportunities , giving you the freedom to stay connected ...

Remote candidates will be considered, with occasional travel required for on-site collaboration at ... Capture and communicate value-in-use insights and competitive intelligence to strengthen market ...

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Remote Competitive Intelligence information

What is the difference between Remote Competitive Intelligence vs Remote Market Research Analyst?

AspectRemote Competitive IntelligenceRemote Market Research Analyst
CredentialsBachelor's in Business, Marketing, or related field; experience in intelligence or analysisBachelor's in Marketing, Business, or Statistics; data analysis skills
Work EnvironmentRemote, often cross-functional teams, industry-focusedRemote, data-driven, client or internal reporting
Industry UsageBusiness strategy, corporate intelligence, competitive analysisMarket trends, consumer insights, product research
Search/Comparison IntentUnderstanding competitive landscape, strategic insightsMarket trends, customer behavior, product positioning

Remote Competitive Intelligence focuses on analyzing competitors and industry trends to inform strategic decisions, while Remote Market Research Analysts concentrate on studying market conditions and consumer behavior to support marketing strategies. Both roles require analytical skills and often work remotely, but their primary focus and outputs differ.

What are the most commonly searched types of Competitive Intelligence jobs in Ohio? The most popular types of Competitive Intelligence jobs in Ohio are:
What cities in Ohio are hiring for Remote Competitive Intelligence jobs? Cities in Ohio with the most Remote Competitive Intelligence job openings:

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

On-site, Remote

Contractor

Posted 12 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.