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Ai Machine Learning Specialists Jobs (NOW HIRING)

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AI/ Machine Learning Engineer

Austin, TX · On-site

Mid-Level AI/Machine Learning Engineer Join one of the top 10 global powerhouses transforming the future of Market. As an AI / Machine Learning Engineer, you'll play a key role in designing ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

Metric5

AI Learning Specialist

Windsor Mill, MD · Remote

$150K - $170K/yr

AI Learning Specialist Are you passionate about helping others discover the potential of machine learning and artificial intelligence (AI)? Do you enjoy demystifying complex concepts and making them ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

Metric5

AI Learning Specialist

Baltimore, MD · On-site

$150K - $170K/yr

AI Learning Specialist Are you passionate about helping others discover the potential of machine learning and artificial intelligence (AI)? Do you enjoy demystifying complex concepts and making them ...

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Ai Machine Learning Specialists information

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How much do ai machine learning specialists jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for ai machine learning specialists in the United States is $20.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $23.08 per hour, depending on experience, location, and employer.

What are AI Machine Learning Specialists?

AI Machine Learning Specialists are professionals who design, develop, and implement machine learning models and artificial intelligence systems. They analyze large datasets, build algorithms, and use programming languages such as Python or R to create solutions that enable computers to learn from data and make predictions or decisions. These specialists often work in industries like technology, healthcare, finance, and more, collaborating with data scientists, engineers, and business teams to solve complex problems. Their work is essential for building smart applications such as recommendation engines, speech recognition systems, and autonomous vehicles.

What are the key skills and qualifications needed to thrive as an AI Machine Learning Specialist, and why are they important?

To thrive as an AI Machine Learning Specialist, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree or advanced certification. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or PyTorch), and knowledge of data processing tools are essential. Strong problem-solving abilities, critical thinking, and effective communication skills help specialists collaborate and translate complex models into actionable solutions. These competencies enable the successful development, deployment, and optimization of AI systems that drive innovation and business value.

How do AI Machine Learning Specialists typically collaborate with cross-functional teams to implement machine learning solutions?

AI Machine Learning Specialists often work closely with data engineers, software developers, and business analysts to design and deploy machine learning models. They contribute technical expertise during project planning, help translate business problems into data-driven solutions, and ensure that models are seamlessly integrated into existing systems. Regular communication and collaborative problem-solving are essential, as specialists must align technical capabilities with business objectives and address any challenges that arise during implementation.

What is the difference between Ai Machine Learning Specialists vs Data Scientists?

AspectAi Machine Learning SpecialistsData Scientists
CredentialsDegree in Computer Science, AI, or related fields; certifications in ML frameworksDegree in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentDevelop and optimize ML models, focus on algorithms and AI systemsAnalyze data, create reports, interpret data insights
Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, and other data-driven industries

While both roles involve working with data and algorithms, Ai Machine Learning Specialists focus primarily on developing and deploying machine learning models and AI systems, whereas Data Scientists analyze and interpret data to inform business decisions. The roles often overlap but differ in their core focus and skill sets.

More about Ai Machine Learning Specialists jobs
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What job categories do people searching Ai Machine Learning Specialists jobs look for? The top searched job categories for Ai Machine Learning Specialists jobs are:
Ai Machine Learning Specialists jobs near you
Infographic showing various Ai Machine Learning Specialists job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 11% Part Time, 6% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $42,068 per year, or $20.2 per hour.
AI / Machine Learning Specialist

AI / Machine Learning Specialist

RIVIDIUM

Alexandria, VA • Hybrid

Full-time

Posted 11 days ago

Job description

RiVidium is seeking an AI / Machine Learning Specialist to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data Operations ? Modernization & Innovation and helps deliver mission-focused outcomes for service members, families, and related stakeholders. Implements PWS C.5.3.13 Innovation initiatives; develops AI/ML models, integrates automation pipelines, and ensures secure deployment in DoD environments. This position is contingent upon contract award.

Key Responsibilities

  • Support design, development, or integration of AI and machine learning capabilities aligned to mission needs.
  • Build or refine models, workflows, and supporting data processes in secure environments.
  • Coordinate with data, engineering, and stakeholder teams to translate use cases into practical solutions.
  • Help ensure AI/ML solutions are measurable, supportable, and responsibly deployed.

Basic Qualifications

  • Bachelor?s degree in a relevant discipline or equivalent professional experience.
  • Relevant experience aligned to the role and labor category; openings may be filled at Mid (5-8 yrs), Senior (10-15 yrs).
  • Ability to satisfy applicable Government personnel security requirements for the assigned role. For IT and cybersecurity workforce positions, applicable DoD 8140 training and certification requirements will apply upon award.
  • Strong communication, teamwork, and documentation skills in a mission-focused delivery environment.

Preferred Qualifications

  • Experience with data pipelines, dashboards, visualization tools, analytics, or reporting automation, as applicable to the role.
  • Ability to translate operational data into actionable insights for technical and non-technical stakeholders.
  • Experience with data quality, governance, and performance metrics in enterprise environments.

Work Setting

This role is expected to support work in the Alexandria, Virginia area, with on-site support at the DoD Mark Center or other customer-approved locations as required. Hybrid support in the Alexandria, Virginia area is expected, with on-site support as required by the customer.

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