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Mlops Engineer Internship Jobs in Texas (NOW HIRING)

AI / MLOps Support * Assist with deployment and monitoring of machine learning and AI applications ... Personal, academic, or internship projects involving Kubernetes or cloud deployments. * Experience ...

MLOps * PySpark Education * Master''s degree in Computer Science, Information Technology ... internships, academic projects, research, GitHub repositories, or professional experience ...

MLflow / MLOps * REST APIs * Git/GitHub Responsibilities * Develop and optimize machine learning ... AI/ML internships, research, or university projects * GitHub/portfolio demonstrating practical AI ...

Data & AI Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... MLOps). "Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC ...

Data & AI Platform Engineer

Dallas, TX · On-site

$113K - $136K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... MLOps). "Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC ...

(AI/ML Engineer / GenAI Engineer / Data Scientist) Houston TX Overview Capgemini is seeking an ... MLOps, model deployment, and monitoring * LangChain and Retrieval-Augmented Generation (RAG ...

Associate Data Scientist

Houston, TX · On-site

$70K - $105K/yr

... Engineering, or a related quantitative field. Minimum of 15 months of professional (non-internship ... Generative AI concepts (GPT, Claude, LLMs) MLOps, model deployment, and monitoring LangChain and ...

Technical Consultant

Dallas, TX · On-site

$80 - $100/hr

... emphasis on AI, MLOps, and Data Engineering. The firm's clientele spans various industries ... Internship, co-op, or project experience in a professional technical environment -- any exposure to ...

Mlops Engineer Internship information

What is an MLOps engineer internship?

An MLOps Engineer Internship is a temporary position designed for students or recent graduates to gain hands-on experience in the field of Machine Learning Operations (MLOps). Interns typically work alongside experienced engineers to help streamline and automate the process of deploying, monitoring, and maintaining machine learning models in production environments. The internship provides valuable exposure to tools and practices such as CI/CD for ML, containerization, model versioning, and cloud platforms. This role is ideal for those looking to bridge the gap between data science and software engineering, gaining practical skills in both areas. Interns often contribute to real-world projects and learn about best practices in scaling and operationalizing AI solutions.

What are some typical projects or tasks I might work on during an MLOps engineer internship?

As an MLOps Engineer Intern, you can expect to work on tasks such as automating machine learning model deployment pipelines, setting up continuous integration/continuous deployment (CI/CD) workflows, and monitoring models in production. You may also assist with optimizing infrastructure for machine learning workloads, ensuring reproducibility of experiments, and collaborating closely with data scientists and software engineers. These projects are designed to give you hands-on experience with real-world MLOps tools and practices, preparing you for a full-time role in the field.

What are the key skills and qualifications needed to thrive as an MLOps engineer intern, and why are they important?

To thrive as an MLOps Engineer Intern, a strong foundation in machine learning concepts, programming (Python, Bash), and familiarity with cloud platforms is essential, often backed by studies in computer science or a related field. Experience with tools such as Docker, Kubernetes, CI/CD pipelines, and version control systems like Git is typically required. Strong problem-solving skills, collaboration, and adaptability help interns navigate technical challenges and team environments. These skills and qualities are crucial for efficiently deploying, maintaining, and scaling machine learning models in production settings.

What is the difference between Mlops Engineer Internship vs Data Engineer Internship?

AspectMlops Engineer InternshipData Engineer Internship
Required CredentialsBasic knowledge of machine learning, cloud platforms, scriptingStrong SQL, programming, data modeling skills
Work EnvironmentTech companies, startups, cloud service providersData-centric teams, analytics firms, tech companies
Industry UsageAI/ML projects, deployment pipelinesData pipelines, database management
Search & Comparison IntentUnderstanding roles in ML deploymentUnderstanding data infrastructure roles

The comparison between Mlops Engineer Internship and Data Engineer Internship highlights that both roles involve working with data and cloud technologies but focus on different aspects. Mlops internships emphasize deploying and maintaining machine learning models, while Data Engineer internships focus on building data pipelines and infrastructure. Candidates should choose based on their interest in ML deployment versus data management.

What are the most commonly searched types of Mlops Engineer jobs in Texas?

The most popular types of Mlops Engineer jobs in Texas are:

What cities in Texas are hiring for Mlops Engineer Internship jobs?

Cities in Texas with the most Mlops Engineer Internship job openings:

Infographic showing various Mlops Engineer Internship job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

2027 Summer Software, Data & AI Engineering Interns

Alcon Laboratories Holding Corporation

Houston, TX

Full-time

Posted 4 days ago


Job description

About Alcon:

Alcon helps people see brilliantly. As the global leader in eye care with a heritage spanning more than 75 years, we offer one of the broadest portfolios of products designed to enhance sight and improve people's lives. Our Surgical and Vision Care products touch the lives of more than 260 million people in over 140 countries each year, supporting those living with conditions such as cataracts, glaucoma, retinal diseases, and refractive errors. Our more than 25,000 associates help enhance quality of life through innovative products, partnerships with eye care professionals, and programs that advance access to quality eye care. If you'd like to help change the way the world sees, this is your chance to Be Brilliant!

Position Description:

Alcon is seeking multiple talented and motivated Software, Data & AI Engineering Interns to join our 2027 Summer Internship Program across several U.S. locations, including Johns Creek, GA; Goleta, CA; Lake Forest, CA; Fort Worth, TX; and Houston, TX. Interns will have the opportunity to gain meaningful industry experience, contribute to real-world projects, and collaborate with professionals across Alcon. Through this internship, students will build technical skills, expand their professional network, and receive coaching, mentoring, and development opportunities while helping advance Alcon's mission to help people see brilliantly.

Potential Internship Project Areas:

Based on business needs, location, and team alignment, internship projects may include opportunities such as:

  • Build scalable AI/ML and data-pipeline solutions using data engineering, MLOps, automation and cloud-native technologies.

  • Use Python and SQL to explore, clean, transform and validate data and create reusable analytical datasets or model features.

  • Develop C# or C++ software, tools and next-generation architectures for visualization and surgical-console products.

  • Create an AI-ready laboratory knowledge framework connecting laboratory systems, electronic lab notebooks, instrument data and study data.

  • Support cybersecurity operations by monitoring security alerts, analyzing events and assisting with incident response.

Minimum Qualifications:

  • Must be enrolled in an accredited university or college for at least one semester prior to internship or co-op, and at least one additional semester following internship or co-op.

  • Must be pursuing at least a bachelor's degree in computer science, software, data/analytics, AI/ML, IT, information systems, HCI/UX, or related major.

  • Academic performance: Minimum cumulative GPA 2.8/4.0

  • Demonstrated leadership skills (i.e. extracurricular activities or projects)

  • Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship (students on an F1 visa with CPT can be accommodated)

  • Ability to commit to a 10-12-week, full-time (40 hours per week) summer internship

ATTENTION: Current Alcon Employee/Contingent Worker

If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.

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You are applying to be part of the Alcon Talent Pool. We are not currently recruiting for this role but we are building a pipeline for future opportunities. If you would like to be considered for a similar position in future, then please submit your CV or resume.

ALCON IS AN EQUAL OPPORTUNITY EMPLOYER AND PARTICIPATES IN E-VERIFY

Alcon takes pride in maintaining an inclusive environment that values different perspectives and our policies are non-discriminatory in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Alcon is also committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an email to alcon.recruitment@alcon.comand let us know the nature of your request and your contact information.