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Ai Machine Learning Specialists Jobs (NOW HIRING)

OmegaHires

AI / Machine Learning Engineer

$80 - $100/hr

Contract (6-12+ months) Indicative rate: $85-$115/hr Role Summary We are seeking an AI / machine learning engineer to develop and deploy ML and GenAI capabilities into production applications. Work ...

CirrusLabs

Vertex AI Machine Learning Architect

Alpharetta, GA · Remote

$62.25 - $80/hr

The Vertex AI Machine Learning Architect will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. The ideal candidate will have a ...

Corning

AI/Machine Learning Engineer

Wilmington, NC

$82K - $112K/yr

Develop and implement AI/ML data science methodologies and AI Products that align with business objectives. * Apply data science techniques, such as machine learning, statistical modeling, and ...

CyberMedia Technologies

AI / Machine Learning Engineer

$117K - $140K/yr

We are seeking to hire a AI/Machine Learning Engineer to our team! Role Overview: As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits ...

RIVIDIUM

AI / Machine Learning Lead

Alexandria, VA · Hybrid

RiVidium is seeking an AI / Machine Learning Lead to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data ...

Corning

AI/Machine Learning Engineer

Wilmington, NC · On-site

$82K - $112K/yr

Develop and implement AI/ML data science methodologies and AI Products that align with business objectives. * Apply data science techniques, such as machine learning, statistical modeling, and ...

Onyx Point, Inc.

AI Machine Learning Skill

Hanover, MD · On-site +1

$78K - $250K/yr

CITIZENSHIP REQUIRED) The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

Design, develop, train, and validate advanced AI and machine learning models to support mission-critical use cases for a federal client, ensuring alignment with operational objectives and data ...

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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
What cities are hiring for Ai Machine Learning Specialists jobs? Cities with the most Ai Machine Learning Specialists job openings:
What states have the most Ai Machine Learning Specialists jobs? States with the most job openings for Ai Machine Learning Specialists jobs include:
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 Engineer

AI / Machine Learning Engineer

OmegaHires

Remote

$80 - $100/hr

Contractor

Posted 9 days ago

Job description

Title: AI / ML Engineer - Remote (US)
Location: Remote - United States
Employment type: Contract (6-12+ months)
Indicative rate: $85-$115/hr
Role Summary
We are seeking an AI / machine learning engineer to develop and deploy ML and GenAI capabilities into production applications. Work spans experimentation, model integration, evaluation, and MLOps on a remote US team.
Responsibilities
  • Build and improve ML models and LLM-powered features (RAG, agents, or classification/NLP as needed)
  • Prepare training and evaluation datasets; implement reproducible experiments
  • Integrate models into applications via APIs, batch jobs, or real-time services
  • Implement monitoring for drift, latency, cost, and quality; iterate from feedback
  • Collaborate with product, data engineering, and security on responsible AI practices
  • Document architectures, prompts, evaluation metrics, and runbooks
  • Support CI/CD and containerized deployment of ML services

Required Qualifications
  • 4+ years in machine learning engineering or applied ML roles
  • Strong Python and ML libraries (scikit-learn, PyTorch or TensorFlow)
  • Experience deploying models to cloud (AWS, Azure, or GCP)
  • Familiarity with LLMs, embeddings, and vector search for GenAI use cases
  • Solid software engineering practices: Git, testing, code review
  • Remote in the United States

Preferred Qualifications
  • LangChain, LlamaIndex, or similar orchestration frameworks
  • MLOps: MLflow, SageMaker, Azure ML, Vertex AI, or Kubeflow
  • RAG design: chunking, retrieval, evaluation (RAGAS or custom benchmarks)
  • Experience with guardrails, PII redaction, and enterprise security reviews

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