ML Software Engineer Visa Sponsorship Jobs in Texas
Texas is one of the strongest states for ML software engineer visa sponsorship, driven by major tech hubs in Austin, Dallas, and Houston. Companies like Dell, AT&T, Texas Instruments, and a dense cluster of Austin-based startups and Amazon, Apple, and Google offices regularly sponsor ML engineers through H-1B visa and other work visas.
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INTRODUCTION
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Locations:
Houston, TX - Onsite
About the job you’re considering:
Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients.
We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills.
Your Role:
- Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in the Energy & Utilities sector.
- Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions.
- Support data collection, cleaning, and preprocessing activities for AI initiatives.
- Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services.
- Utilize platforms such as Databricks, PySpark, and modern AI frameworks.
- Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency.
- Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders.
- Contribute to project documentation, reports, and client deliverables.
- Develop reusable assets, demos, and solution accelerators.
- Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape.
- Foster a collaborative environment, actively sharing knowledge and best practices within the team.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
- Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles.
- Demonstrable background in the Energy & Utilities sector, specifically with OFSC (Oracle Field Service Cloud), Oil & Gas, or general Utilities industry knowledge.
- Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts.
- Proficiency in at least one AI-centric programming language (e.g., Python).
- Experience with:
- Generative AI concepts (GPT, Claude, LLMs)
- MLOps, model deployment, and monitoring
- LangChain and Retrieval-Augmented Generation (RAG) concepts
- REST APIs, JSON, Authentication, and Integration patterns
- Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)
- Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations.
- Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment.
Preferred Qualifications:
- Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD).
- Experience with any of the following:
- data visualization tools and techniques
- Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn)
- NLP
- computer vision
- graph database technology (Neo4J, Ontotext)
- JIRA / Confluence
- Prior project or internship experience in a consulting environment.
The base compensation range for this role in the posted location is: $46,000 to $111,000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
ML Software Engineer Job Roles in Texas
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Search ML Software Engineer Jobs in TexasML Software Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Texas?
Large employers with established Texas presences, including Dell Technologies in Round Rock, AT&T and Texas Instruments in Dallas, and Amazon, Apple, Google, and Meta at their Austin offices, have consistently filed H-1B petitions for ML software engineer roles. A growing number of Austin-based AI startups also sponsor ML talent, though sponsorship practices vary by company size and hiring cycle.
Which visa types are most common for ML software engineer roles in Texas?
The H-1B is by far the most common visa category for ML software engineers in Texas, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Some employers also use the O-1A for candidates with extraordinary ability in AI research. International students completing degrees at Texas universities frequently transition through OPT before an employer files an H-1B petition.
Which cities in Texas have the most ML software engineer sponsorship jobs?
Austin leads Texas for ML software engineer sponsorship, anchored by major tech campuses and a fast-growing startup ecosystem. Dallas-Fort Worth is the second-largest hub, with demand concentrated in financial technology, telecom, and enterprise software. Houston adds meaningful volume through energy-sector companies adopting ML for predictive analytics and operations, along with a strong research presence tied to Rice University and the University of Houston.
How to find ml software engineer visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for visa sponsorship, so you can browse ML software engineer roles in Texas without manually vetting each employer's willingness to sponsor. The platform surfaces positions from companies that have active sponsorship histories, which is especially useful in Texas where hiring activity is spread across Austin, Dallas, and Houston. Filtering by role and state on Migrate Mate narrows the search to what's actually relevant to your situation.
Are there any Texas-specific factors ML software engineers should know about visa sponsorship?
Texas has no state income tax, which affects prevailing wage calculations under the H-1B's Labor Condition Application requirements, as the Department of Labor sets prevailing wages by metropolitan area rather than state. Austin's tech growth has pushed prevailing wage levels upward in recent years, particularly for senior ML roles. Texas also has a strong university pipeline, with UT Austin, Texas A&M, and UT Dallas producing ML graduates who are well known to local employers that sponsor regularly.
What is the prevailing wage for sponsored ml software engineer jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.