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Data Curation Ai Machine Learning Jobs in Ohio (NOW HIRING)

Apply machine learning and AI-powered data mining techniques to: * Identify statistical trends within existing datasets * Detect gaps in available data (data paucity) * Improve the effectiveness of ...

Chief Data Officer

Bath, OH · On-site

$130 - $180/hr

Apply machine learning and AI-powered data mining techniques to: * Identify statistical trends within existing datasets * Detect gaps in available data (data paucity) * Improve the effectiveness of ...

Apply machine learning and AI-powered data mining techniques to: * Identify statistical trends within existing datasets * Detect gaps in available data (data paucity) * Improve the effectiveness of ...

ClifyX is a company that specializes in AI solutions, and they are seeking a Machine Learning ... MLOps pipelines data ingestion, training, deployment, monitoring, CICD. • Collaborate with ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Akron, OH · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning engineers at Mimecast are empowered to use AI development tools every day - to explore ideas, prototype quickly, interpret data and experiment results in order to advance modeling ...

Machine Learning Engineer

Beavercreek, OH · On-site

$52 - $68.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

We deliver solutions in the domains of AI/ML, data science, software, and visualization to address ... Implement machine learning, data mining and statistical algorithms for pattern recognition and ...

In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their ...

Machine Learning Engineer

Beavercreek, OH · On-site

$51.75 - $68.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

We deliver solutions in the domains of AI/ML, data science, software, and visualization to address ... Implement machine learning, data mining and statistical algorithms for pattern recognition and ...

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Machine Learning engineers at Mimecast are empowered to use AI development tools every day-to explore ideas, prototype quickly, interpret data and experiment results in order to advance modeling work ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Machine Learning engineers at Mimecast are empowered to use AI development tools every day-to explore ideas, prototype quickly, interpret data and experiment results in order to advance modeling work ...

Showing results 21-40

Data Curation Ai Machine Learning information

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Ohio?

For Data Curation Ai Machine Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Ohio look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for Data Curation Ai Machine Learning jobs?

Cities in Ohio with the most Data Curation Ai Machine Learning job openings:

Chief Data Officer

C2 Alaska, LLC

Dayton, OH • On-site

Full-time

Re-posted 14 days ago


Job description

Overview
C2 ALASKA, LLC
Dayton, OH
The Chief Data Officer shall provide advanced technical support to the AFRL/RA organization, focusing on the development and implementation of data-driven solutions to enhance research and engineering outcomes. This role supports the Chief Data Officer and AI leadership in designing and implementing digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights. The position plays a critical role in modernizing how hypersonic test and technical report data is accessed, structured, analyzed, and utilized-enabling improved research efficiency and innovation across AFRL initiatives.
Responsibilities
  • Support the AFRL/RA team in the collection, storage, management, and retrieval of experimental and computational research data.
  • Develop and implement data-driven solutions to enhance research and engineering outcomes
  • Support the Chief Data Officer and AI leadership
  • Design and implement digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights
  • Assist in implementing and advancing digital engineering infrastructure aligned with government reference architectures.
  • Apply machine learning and AI-powered data mining techniques to:
    • Identify statistical trends within existing datasets
    • Detect gaps in available data (data paucity)
    • Improve the effectiveness of future experimental and computational efforts
  • Collaborate with AFRL/RA AI leadership to design and develop AI agents capable of:
    • Automating extraction of structured data from unstructured historical data packages
    • Utilizing metadata and technical reports to prioritize relevant information for end users
  • Develop and maintain scalable data structures and workflows that enable seamless:
    • Data integration
    • Analysis
    • Storage and retrieval across multiple platforms
  • Integrate heterogeneous datasets from multiple sources into unified analytical frameworks and modeling environments.
  • Support the creation of digital collaboration tools to:
    • Eliminate data silos
    • Enhance accessibility of structured research data
    • Provide streamlined user interfaces for data interaction
  • Enable transformation of fragmented information into structured, accessible, and analysis-ready datasets.
  • Contribute to model development and data-driven decision support tools for research stakeholders.
  • Other duties as assigned

Qualifications
  • Master of Arts (MA)/Master of Science (MS) in Science; Engineering, Mathematics, or Statistics
  • Minimum ten (10) years in data science / OR A-type work
  • Minimum five (5) experience in designing AI/ML solutions, building data architectures, and creating automation (AI agents)
  • Minimum five (5) years working with large-scale or complex datasets
  • Minimum five (5) years supporting DoD research programs
  • Possess and maintain an Active Secret Clearance

Knowledge, Skills and Abilities
  • Knowledge of machine learning, artificial intelligence, and data science techniques
  • Ability to design and implement data architectures and workflows aligned with enterprise/government standards
  • Proficiency in handling structured and unstructured data, including data extraction and transformation
  • Skilled in integrating heterogeneous data sources into unified systems
  • Ability to develop and support AI-driven automation tools (e.g., data extraction agents)
  • Possess analytical and problem-solving skills applied to complex research datasets
  • Possess effective collaboration skills across technical, engineering, and research stakeholders
  • Possess excellent written and verbal communication skills for technical audiences
  • Ability to translate complex data into meaningful insights for decision-makers
  • Demonstrated technical communication skills, including preparation of briefings, technical reports, research papers, and publications.
  • Experience with high-speed flight vehicle technologies, hypersonics, or advanced aerospace systems Preferred
  • Experience with digital engineering concepts and frameworks Preferred
  • Experience working with large, complex, and diverse datasets Preferred
  • Experience in AI/ML model development, training, or deployment Preferred
  • Familiarity with generative AI tools and data-driven infrastructure development Preferred

Physical Demands (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)
  • The employee will need to be able to perform facility inspections.
  • While performing the duties of this Job, the employee is regularly required to sit and talk or hear. The employee may use repeated motions that include the arms, wrists, hands and/or fingers. The employee is occasionally required to walk, stand, climb, balance, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision.

Any estimated salary provided by this job board may not align with Chenega's compensation program. Please apply to connect with a recruiter who can provide more details