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How much do flexible artificial intelligence machine learning jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for flexible artificial intelligence machine learning in the United States is $84.56, according to ZipRecruiter salary data. Most workers in this role earn between $72.84 and $97.60 per hour, depending on experience, location, and employer.

What is the difference between Flexible Artificial Intelligence Machine Learning vs Data Scientist?

AspectFlexible Artificial Intelligence Machine LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Statistics, Computer Science, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, research labs, startups; focus on developing AI modelsBusiness environments, consulting firms; focus on data analysis and insights
Industry UsageAI development, automation, machine learning applicationsData analysis, predictive modeling, business intelligence

Flexible Artificial Intelligence Machine Learning professionals focus on developing adaptable AI systems and models, often working on complex algorithms and automation. Data Scientists analyze data to extract insights and build predictive models. While both roles require strong technical skills and knowledge of ML, AI specialists emphasize creating flexible AI solutions, whereas Data Scientists focus on interpreting data for strategic decisions.

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Flexible Artificial Intelligence Machine Learning jobs near you

Director, Machine Learning-Artificial Intelligence

Erlanger, KY • On-site

Archer Daniels Midland
Manufacturing • 1 - 5K employees
Learn more about Archer Daniels Midlandexternal

Full-time

Posted 20 days ago

ADM rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

75th of 365 rated logistics

Job description

Director, Machine Learning-Artificial Intelligence, Archer Daniels Midland Company, Erlanger, KY.
Provide guidance and hands-on development of machine learning solutions supporting data science
initiatives leveraging the Azure ecosystem and partner integrations. Research, design, implement, and
deploy full-stack scalable artificial intelligence and machine learning solutions to address various business
challenges. Design and develop immersive and interactive AR, VR, and XR applications that meet project
specifications and user requirements, while ensuring high performance, scalability, and usability. Design
and develop Generative AI solutions using fine-tuning, embeddings, with commercial and open-source
large language models. Lead the development of artificial intelligence initiatives in an environment rich in
complex biological, environmental, operational, and business data. Establish and manage collaborations
engaging business units to develop novel data analytic approaches and integrated decision science
solutions. Evaluate in-depth market analysis and drive the business case for optimization of existing
products and creation of next generation AI products. Support the development of AI product roadmaps
and timelines.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Bachelor's degree or foreign equivalent degree in Machine Learning, Data Science, Statistics, Applied
Mathematics, Physics, Computer Science, Bioinformatics, Business Analytics, or a related field, and seven
(7) years of post-bachelor's, progressive, related work experience.
Must have five (5) years of experience with/in:
Applying artificial intelligence, machine learning, and architecture skills to solve commercial,
financial, and manufacturing problems;
Machine learning techniques (e.g., clustering, decision tree learning, and/or artificial neural
networks) and Machine Learning lifecycle from beginning to end;
Working with enterprise scale databases, with demonstrated ability to navigate ambiguous
architectures and data sources;
Azure cloud services;
Database (SQL) knowledge, database management, business intelligence, enterprise performance
management, data mining, and systems administration;
Expertise in middle tier/backend technologies such as .NET, relational and/or non-relational
(NoSQL) databases, web services, and RESTful concepts; and
Working knowledge of BI Governance, Data Governance, Master Data Management, and Data
Quality Management.
50% telecommuting permitted.
To apply, mail resume to: Christina Hetzer, ADM; PO BOX 1470, Decatur, IL 62525 (reference: KY0130)

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