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Ai Machine Learning Specialists Jobs (NOW HIRING)

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...

## Werkstudent AI/Machine Learning (m/w/d)Applylocations: Leutkirch Werk 1time type: Part timeposted on: Posted 4 Days Agojob requisition id: JR101468Als familiengeführtes Stiftungsunternehmen mit ...

Our partner is looking for a Machine Learning Specialist based in Netherlands. This is a remote ... The position places strong emphasis on responsible AI, including privacy, transparency ...

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull-time## About the RoleCTEC is a leading technology firm that provides modernization, digital ...

AI Machine Learning Scientist Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and ...

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

As of Aug 23, 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 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.

What does an AI Machine Learning Specialist do?

An AI Machine Learning Specialist develops and implements algorithms that enable computers to learn from data and improve their performance over time. They work with large datasets, use programming languages like Python or R, and often utilize machine learning frameworks such as TensorFlow or PyTorch to create predictive models and automate decision-making processes.

What is the salary of AI machine learning specialists?

AI machine learning specialists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in deep learning or data engineering can earn higher salaries, often exceeding $200,000. Certifications in relevant tools like TensorFlow or PyTorch can also influence compensation.
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Cities with the most Ai Machine Learning Specialists job openings:

What states have the most Ai Machine Learning Specialists jobs?

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Infographic showing various Ai Machine Learning Specialists job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,068 per year, or $20.2 per hour.

Remote AI / Machine Learning Specialist

TA Staffing

Nashville, TN • Remote

$115K - $140K/yr

Full-time

Posted 26 days ago


Job description

We're seeking an innovative AI / Machine Learning Specialist to help design, build, and deploy intelligent solutions that improve business performance and automate complex processes. In this fully remote role, you'll work with engineering, product, and business teams to develop machine learning models, optimize AI systems, and transform data into actionable insights.

What You'll Do

  • Design, develop, train, and deploy machine learning and AI models.
  • Build predictive models, recommendation engines, and intelligent automation solutions.
  • Analyze structured and unstructured data to identify patterns and business opportunities.
  • Develop and optimize large language model (LLM) applications and AI-powered workflows.
  • Collaborate with software engineers to integrate AI solutions into production environments.
  • Monitor model performance and continuously improve accuracy and efficiency.
  • Stay current with emerging AI technologies, frameworks, and industry best practices.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field (Master's degree preferred).
  • Experience with Python and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of large language models (LLMs), generative AI, prompt engineering, and retrieval-augmented generation (RAG).
  • Experience with SQL, data pipelines, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with APIs, Git, Docker, and MLOps practices.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Ability to manage multiple AI initiatives in a fast-paced remote environment.

Preferred Experience

  • Experience deploying AI models into production environments.
  • Knowledge of vector databases, embeddings, and semantic search.
  • Experience building AI agents or workflow automation tools.
  • Familiarity with Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Experience working with enterprise AI platforms such as OpenAI, Anthropic, Google Vertex AI, or Amazon Bedrock.

Why Join Our Team?

  • 100% remote work from anywhere in the United States.
  • Competitive salary, annual bonus, and comprehensive benefits.
  • Work on cutting-edge AI and machine learning initiatives with real business impact.
  • Flexible work schedule and excellent work-life balance.
  • Ongoing professional development and access to the latest AI technologies.
  • Opportunities for rapid career growth as AI adoption continues to accelerate across industries.


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