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Hourly Remote 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 ...

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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Hourly Remote Machine Learning Engineer information

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.
What are popular job titles related to Hourly Remote Machine Learning Engineer jobs in Ohio? For Hourly Remote Machine Learning Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Machine Learning Engineer jobs in Ohio look for? The top searched job categories for Hourly Remote Machine Learning Engineer jobs in Ohio are:
What cities in Ohio are hiring for Hourly Remote Machine Learning Engineer jobs? Cities in Ohio with the most Hourly Remote Machine Learning Engineer job openings:
Hourly Remote Machine Learning Engineer jobs near you

Associate Applications Developer

Ohio State University

Columbus, OH • On-site, Remote

Full-time

Posted 2 days ago

New

Job description

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu. If you have questions while submitting an application, please review these frequently asked questions.

Current Employees and Students:

If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process.

Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:

  • Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.

  • Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application.

Job Title:Associate Applications DeveloperDepartment:FAES | Food, Agricultural and Biological Engineering

The AgSensing Laboratory in the Department of Food, Agricultural and Biological Engineering at The Ohio State University is seeking an Associate Applications Developer to support the development and maintenance of digital agriculture research tools and web-based applications. The successful candidate will assist in enhancing existing laboratory websites, databases, and software applications that support research, education, and outreach activities. This position is a temporary position, less than 1 year assignment and fulltime.

Working under the guidance of the Principal Investigator, the Associate Applications Developer will contribute to web application development, research data management, software testing, and visualization of agricultural data. The position also supports the implementation of machine learning-enabled tools and assists with data analyses and reporting for externally funded research projects.

Primary Responsibilities

Web Application Development and Maintenance (60%)

  • Support the enhancement and maintenance of existing AgSensing Laboratory websites and web applications.
  • Develop and update web-based interfaces, dashboards, and visualization tools that support digital agriculture research.
  • Assist with integrating databases, APIs, and cloud-based resources into existing software applications.
  • Support implementation, testing, and maintenance of machine learning-enabled tools and web applications under the guidance of the research team.
  • Participate in software testing, debugging, documentation, and quality assurance activities.

Research Data Management and Analysis (25%)

  • Prepare, organize, and manage research datasets generated from agricultural sensing and digital agriculture projects.
  • Conduct statistical analyses and data summarization using established methodologies to support project objectives.
  • Assist with data visualization, interpretation of results, and preparation of figures for publications and reports.
  • Ensure research data are properly documented, organized, and maintained according to project requirements.

Research Support and Collaboration (15%)

  • Assist in preparing technical reports, presentations, and research documentation.
  • Participate in manuscript preparation and proposal development as appropriate.
  • Collaborate with faculty, graduate students, and multidisciplinary research teams to support ongoing research activities.
  • Maintain awareness of emerging technologies relevant to digital agriculture and web application development.

Required Qualifications

  • Bachelor's degree in computer science, Software Engineering, Information Systems, Data Science, Agricultural Engineering, or a closely related discipline or equivalent experience.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work collaboratively in a multidisciplinary research environment.

Preferred Qualifications

  • Preference will be given to candidates with one or more of the following: One year or more of relevant experience in software development, web application development, research computing, or related areas. Experience developing web applications using modern front-end and back-end technologies.
  • Familiarity with relational or NoSQL databases.
  • Familiarity with machine learning concepts and software development workflows.
  • Knowledge of version control systems (e.g., Git).
  • Familiarity with U.S. agricultural systems and crop production practices.
  • Experience working with GIS, remote sensing, spatial databases, and geospatial web services.
  • Experience with cloud computing platforms.
  • Experience with Python, JavaScript, R, or related programming languages.
  • Experience supporting externally funded research projects.
Additional Information:

This job profile is a Application Developer 1 (S1 level) on the career roadmap.

The offer for this position will fall within the positions pay range based on internal equity, unit's available budget, and the candidate's qualifications

Location:Agricultural Engineering Building (0298)Position Type:Temporary (Fixed Term)Scheduled Hours:40Shift:Varying Shifts

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.

The university is an equal opportunity employer, including veterans and disability.

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