ZipRecruiter

Log In

1

No Code Ai Machine Learning Jobs (NOW HIRING)

Dine Development Corporation

Low Code AI Engineer

Develop algorithms and predictive models using machine learning and deep learning frameworks ... Experience with low-code or no-code AI/ML platforms. * Experience deploying models in cloud ...

OmegaHires

AI / Machine Learning Engineer

$80 - $100/hr

... AI / machine learning engineer to develop and deploy ML and GenAI capabilities into production ... Git, testing, code review * Remote in the United States Preferred Qualifications * LangChain ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

... AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ... Knowledge of YAML for automating model and application code deployment * Understanding of data ...

SentinelOne

AI/Machine Learning Engineer Intern

$31/hr

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering ... code. * AI Fundamentals: A strong background in AI/ML and experience with independent projects ...

SentinelOne

OR

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering ... code. * AI Fundamentals: A strong background in AI/ML and experience with independent projects ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

... AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ... Knowledge of YAML for automating model and application code deployment * Understanding of data ...

next page

Showing results 1-20

All JobsNo Code Ai Machine Learning Jobs

No Code Ai Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do no code ai machine learning jobs pay per year?

As of Jun 11, 2026, the average yearly pay for no code ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a No-Code AI Machine Learning Specialist, and why are they important?

To thrive as a No-Code AI Machine Learning Specialist, you need a solid understanding of data analysis, machine learning concepts, and how to translate business problems into AI-driven solutions, typically supported by relevant coursework or certifications. Familiarity with no-code platforms like Google AutoML, Microsoft Power Platform, or DataRobot is essential, along with the ability to handle data visualization and basic data preprocessing tools. Strong problem-solving skills, adaptability, and clear communication help you collaborate with stakeholders and explain technical concepts to non-technical audiences. These skills are crucial for effectively deploying AI solutions in organizations without traditional coding, enabling broader access and faster implementation of machine learning projects.

What are some common challenges faced when implementing no-code AI and machine learning solutions in organizations?

One common challenge is ensuring that no-code AI tools can integrate seamlessly with existing business systems and workflows. Users may also encounter limitations in customization or scalability compared to traditional coding approaches. Additionally, while no-code platforms make AI more accessible, it's important for users to have a foundational understanding of data quality and model evaluation to avoid misinterpretation of results. Collaboration with IT and data science teams can help mitigate these challenges and ensure successful deployment.

What is the difference between No Code Ai Machine Learning vs Data Scientist?

AspectNo Code Ai Machine LearningData Scientist
CredentialsNo formal coding certifications typically requiredAdvanced degrees in data science, statistics, or related fields
Work EnvironmentOften cloud-based platforms, user-friendly interfacesProgramming environments, data analysis tools, coding-heavy
Industry UsageBusiness users, product managers, non-technical teamsData analysis, model development, research teams
Search & Comparison IntentEase of use, rapid deployment, no coding neededAdvanced analytics, custom model building, research

While No Code Ai Machine Learning allows users to build AI models without coding, Data Scientists develop and fine-tune models using programming languages like Python or R. No Code tools are ideal for quick, accessible solutions, whereas Data Scientists handle complex, customized analytics and research tasks.

What is a No Code AI Machine Learning specialist?

A No Code AI Machine Learning specialist is a professional who creates and deploys machine learning models using platforms that do not require traditional programming skills. They leverage user-friendly tools with graphical interfaces to build, train, and implement AI solutions for various business needs. This role is ideal for individuals who want to utilize AI and machine learning capabilities without having an extensive background in coding or data science.
Infographic showing various No Code Ai Machine Learning job openings in the United States as of June 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Low Code AI Engineer

Low Code AI Engineer

Dine Development Corporation

Remote

Other

Posted 11 days ago

Job description

Job Summary:
The Low Code AI Engineer will support the International Trade Administration (ITA) AI Center of Excellence (AI-CoE) by developing, deploying, and maintaining scalable artificial intelligence and machine learning solutions. This role focuses on building predictive models, automating ML pipelines, and operationalizing AI solutions using low-code and cloud-based platforms within a federal environment.
*This position is contingent upon contract award.*
Job Duties and Responsibilities:
  • Develop algorithms and predictive models using machine learning and deep learning frameworks.
  • Scale AI/ML prototypes into production-ready solutions.
  • Preprocess, validate, and manage structured and unstructured datasets.
  • Automate, orchestrate, and monitor machine learning pipelines.
  • Manage versioning, deployment, and lifecycle of models and datasets.
  • Ensure data quality, accuracy, and integrity throughout the ML lifecycle.
  • Serve and scale ML models in cloud environments.
  • Deploy, monitor, and maintain AI/ML solutions in development, staging, and production.
  • Collaborate with cross-functional teams using SAFe Agile methodologies.
  • Utilize Government-provided DevOps and cloud platforms.
  • Produce clear technical documentation compliant with federal standards.
  • Other duties as assigned.

Job Requirements (Education/Skills/Experience):
  • U.S. Citizenship (required). MUST have a NACI or higher background investigation.
  • Minimum two (2) years of experience.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
  • Experience developing and deploying machine learning models.
  • Hands-on experience with data preprocessing, feature engineering, and model evaluation.
  • Familiarity with ML pipeline automation and orchestration tools.
  • Experience working in Agile or SAFe environments.

Desired Qualifications:
  • Master's degree in a related technical field.
  • Experience with low-code or no-code AI/ML platforms.
  • Experience deploying models in cloud environments (AWS, Azure, or GCP).
  • Knowledge of MLOps practices, CI/CD pipelines, and monitoring tools.
  • Prior experience supporting federal or government clients.
  • Familiarity with AI governance, ethics, and security considerations.
  • Experience using Azure DevOps or similar tools.

Work Location: Remote work preferred with occasional on-site support in Washington, DC, as required.
This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.

Apply