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Artificial Intelligence Machine Learning Internship Jobs in Texas

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Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Artificial Intelligence * Machine Learning * Data Science * Computer Engineering * Software ... AI/ML internships, research, or university projects * GitHub/portfolio demonstrating practical AI ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

... machine learning and artificial intelligence solutions. The ideal candidate should have strong ... internships, academic projects, research, GitHub repositories, or professional experience ...

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Artificial Intelligence Machine Learning Internship information

What is an artificial intelligence machine learning internship?

An Artificial Intelligence (AI) Machine Learning (ML) Internship is a temporary position designed for students or recent graduates to gain hands-on experience in AI and ML fields. Interns work on real-world projects involving data analysis, model development, and the application of machine learning algorithms under the guidance of experienced professionals. These internships help individuals develop practical skills, build a professional network, and improve their understanding of current technologies and tools used in AI and ML. Interns may also participate in research, code reviews, and present their findings. This experience is valuable for pursuing a career in data science, AI engineering, or related fields.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning intern?

To thrive as an Artificial Intelligence Machine Learning Intern, you need foundational knowledge in computer science, statistics, and mathematics, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python, machine learning libraries such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns excel in collaborative, fast-paced environments. These skills and qualities are essential to contribute meaningfully to projects, learn quickly, and adapt to evolving technological challenges.

What types of projects can an artificial intelligence machine learning intern expect to work on during their internship?

As an AI/ML intern, you can expect to work on a variety of projects such as data preprocessing, model development, and performance evaluation. Interns often assist in building and testing machine learning models, analyzing large datasets, and contributing to the improvement of existing algorithms. You may also collaborate closely with data scientists, engineers, and product teams to solve real-world problems and help integrate AI solutions into business processes. These experiences provide valuable exposure to both research and practical applications in the field.

What is the difference between Artificial Intelligence Machine Learning Internship vs Data Science Internship?

AspectArtificial Intelligence Machine Learning InternshipData Science Internship
Required CredentialsBasic programming, math, and AI/ML knowledgeStatistics, programming, and data analysis skills
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Employer & Industry UsageAI/ML-focused roles in tech and researchData analysis and insights across industries
Search & Comparison IntentUnderstanding AI/ML internship roles and skillsExploring data science internship opportunities

Artificial Intelligence Machine Learning internships focus on developing AI and ML models, requiring programming and math skills. Data Science internships emphasize analyzing data to generate insights, often involving statistics and data visualization. While both roles involve data and programming, AI/ML internships are more specialized in building intelligent systems, whereas Data Science internships focus on interpreting data for decision-making.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Texas?

The most popular types of Artificial Intelligence Machine Learning jobs in Texas are:

What are popular job titles related to Artificial Intelligence Machine Learning Internship jobs in Texas?

For Artificial Intelligence Machine Learning Internship jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Internship jobs in Texas look for?

The top searched job categories for Artificial Intelligence Machine Learning Internship jobs in Texas are:

What cities in Texas are hiring for Artificial Intelligence Machine Learning Internship jobs?

Cities in Texas with the most Artificial Intelligence Machine Learning Internship job openings:

Artificial Intelligence Machine Learning Internship jobs near you
Infographic showing various Artificial Intelligence Machine Learning Internship job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Artificial Intelligence/Machine Learning Engineer

Lumen Solutions Group Inc.

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Lumen Solutions Group Inc. is seeking an Artificial Intelligence/Machine Learning Engineer to evaluate emerging AI trends and design applications tailored to specific use cases. The role involves creating scalable AI pipelines and collaborating with various teams to integrate AI solutions.
Responsibilities:
• Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.
• Run proof-of-concepts (PoCs) to test feasibility of new ideas.
• Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.
• Create scalable AI pipelines that can be integrated into existing systems.
• Collaborate with data, engineering, and software development teams.
Qualifications:
Required:
• Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.
• Run proof-of-concepts (PoCs) to test feasibility of new ideas.
• Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.
• Create scalable AI pipelines that can be integrated into existing systems.
• Collaborate with data, engineering, and software development teams.
• Possesses raw knowledge and skillset through coursework with some hands-on work experience in the following areas:
• Strong Python, familiarity with Java / C++ / Go for production environments
• Object-oriented programming & design patterns
• Unit testing, CI/CD, Git, containerization (Docker)
• Data pipelines (Airflow, Prefect, or cloud-native equivalents)
• Model deployment (REST APIs, gRPC, serverless), monitoring, and versioning
• AWS / Azure / GCP / OCI AI services
• Cloud-native training/inference environments (SageMaker, Vertex AI, Azure ML)
• Kubernetes for scalable inference
• Eligibility to Work: Vendor must ensure Resources retain the authorization to legally work in the United States throughout the term of each engagement based on the length of term period identified in the contract. Documentation of such authorizations must be provided prior to engagement.
Company:
Lumen Solutions Inc., is a dynamic small and minority-owned, Disadvantaged Business Enterprise headquartered in Virginia, USA. Founded in 1998, the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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