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Ai Math Training Jobs in Houston, TX (NOW HIRING)

Cnpc Usa Corporation

AI Solutions Architect

Houston, TX · On-site

... training activities. Minimum Education & Experience Requirements: * Master's degree in Operations ... Applied mathematics and statistics. * Cloud development tools and cloud environments for AI, data ...

Munich Re

Data Scientist, AI

Houston, TX · On-site +1

... training can easily find connections to. Understand stakeholders' requests and hidden issues and ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Deloitte

Finance Analytics & AI Manager

Houston, TX

Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited ... and training; licensure and certifications; and other business and organizational needs. The ...

Deloitte

AI Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science ... and training; licensure and certifications; and other business and organizational needs. The ...

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

Designs production-grade ML systems end-to-end (data → training → deployment → monitoring ... Bachelor's degree in computer science, mathematics, physics, engineering or related field required

Oxy

AI Optimization Engineer

Houston, TX · On-site

Master's degree in Engineering, Applied Mathematics, or a related field. * Strong knowledge of ... We will never: • Ask you to pay for applications, interviews, meetings, processing, training or ...

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How much do ai math training jobs pay per year?

As of Jul 13, 2026, the average yearly pay for ai math training in Houston, TX is $52,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $58,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced in an AI Math Training role?

One of the main challenges in an AI Math Training position is translating complex mathematical theories into practical algorithms that can be efficiently implemented in machine learning models. You may also encounter difficulties when training models on large datasets, balancing computational resources with accuracy, and ensuring models generalize well to unseen data. Collaboration with data scientists, engineers, and domain experts is frequent, requiring strong teamwork and communication skills. Staying current with rapidly evolving AI and mathematical techniques is essential for success and ongoing career development in this field.

What are the key skills and qualifications needed to thrive in the Ai Math Training position, and why are they important?

To thrive in an AI Math Training role, you need a strong background in mathematics, statistics, and machine learning, often supported by a degree in mathematics, computer science, or a related field. Experience with programming languages (such as Python or R), deep learning frameworks (like TensorFlow or PyTorch), and relevant AI or data science certifications are typically required. Strong analytical thinking, clear communication, and problem-solving abilities help in conveying complex concepts and collaborating with diverse teams. These skills are essential for effectively developing and training AI models that rely on advanced mathematical principles and for communicating technical findings to both technical and non-technical stakeholders.

What is an AI Math Training job?

An AI Math Training job involves developing, refining, and optimizing mathematical models used in artificial intelligence systems. This role often includes curating datasets, training AI algorithms, and ensuring mathematical accuracy in machine learning models. Professionals in this field typically have expertise in linear algebra, calculus, statistics, and optimization techniques. They work closely with data scientists and engineers to improve AI efficiency and reliability.

What are the most commonly searched types of Ai Math Training jobs in Houston, TX? The most popular types of Ai Math Training jobs in Houston, TX are:
What are popular job titles related to Ai Math Training jobs in Houston, TX? For Ai Math Training jobs in Houston, TX, the most frequently searched job titles are:
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What cities near Houston, TX are hiring for Ai Math Training jobs? Cities near Houston, TX with the most Ai Math Training job openings:
Ai Math Training jobs near you
Infographic showing various Ai Math Training job openings in Houston, TX as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $52,873 per year, or $25.4 per hour.
AI Solutions Architect

AI Solutions Architect

Cnpc Usa Corporation

Houston, TX • On-site

Full-time

Re-posted 24 days ago

Job description

Company Profile:

CNPC USA is a subsidiary of China National Petroleum Company and serves as the North American headquarters. Our mission is to drive innovation through advanced research and development of next-generation technologies for oil and gas exploration and production.


Job Summary:

CNPC USA is seeking a highly experienced AI Solutions Architect to lead the design, prototyping, implementation, and integration of artificial intelligence, machine learning, generative AI, and industrial analytics solutions for oil and gas technology applications. This position is a key technical role responsible for translating open-ended business and technical challenges into scalable AI system architectures, decision-support tools, digital workflows, and production-ready analytical solutions.

The ideal candidate will have advanced working knowledge of data analytics, modern machine learning algorithms, foundation models, large language models, vision-language models, small language models, optimization methods, operations research, and modern decision science. This role will work closely with subject-matter experts, product champions, product managers, designers, and software engineers to develop AI-enabled solutions that support CNPC USA technology development, product commercialization, and energy-domain digital transformation.

Key Responsibilities:

  • Conduct exploratory and undirected technology development to address open-ended AI/ML problems and questions in the energy domain.
  • Participate in data science, artificial intelligence, machine learning, industrial analytics, decision science, and operations research initiatives.
  • Develop, prototype, and evaluate solutions using modern deep learning methods, foundation models, generative AI, modern NLP, vision-language models, small language models, and time-series analytics.
  • Research and assess next-generation technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of complex systems.
  • Engineer appropriate system-level AI solutions in collaboration with subject-matter experts, product champions, product managers, designers, and software engineers.
  • Work with software engineering teams to integrate AI solutions into business workflows, cloud environments, data platforms, and production applications.
  • Prototype end-to-end data solutions across multiple cross-functional teams in high-visibility roles.
  • Generate innovative ideas, establish new technology development directions, and shape and execute technical projects from concept through deployment.
  • Maintain state-of-the-art knowledge and contribute to technical discussions, architecture reviews, project reviews, and expert assessments in related areas of responsibility.
  • Communicate sophisticated AI concepts, plans, recommendations, and results effectively to management, clients, technical stakeholders, and the broader business community.
  • Prepare oral and written reports, presentations, technical memoranda, project documentation, and executive-level summaries.
  • Work effectively with peers, management, operations groups, and outside organizations to advance technology development and deployment.
  • Participate in relevant technical reviews and audits of projects as requested.
  • Review, mentor, and coach junior team members while defining and promoting standards, best practices, reusable architectures, and lessons learned.
  • Actively disseminate knowledge through webinars, talks, tutorials, technical communities, and internal training activities.


Minimum Education & Experience Requirements:

  • Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related STEM field, or foreign equivalent.
  • Three (3) years of post-baccalaureate experience in the job offered or in any AI/data science-related job title.

Applicants must have three (3) years of experience in each of the following:

  • AI and data science in the decision science and operations research space using software implementation technology.
  • Markov decision process methods and applications.
  • Data mining for analytics and decision making.
  • LLM-based generative AI solution development.
  • Vision-language model and small language model system development.
  • Modern NLP development in AI.
  • Computational intelligence and non-convex optimization techniques.
  • Time-series analysis techniques using statistics and AI.
  • Applied mathematics and statistics.
  • Cloud development tools and cloud environments for AI, data mining, and large-scale data systems.
  • Optimization solver tools, including CPLEX.
  • Programming languages and frameworks for modern AI and data science, including Python, R, TensorFlow, and PyTorch.


Preferred Experience:

  • Experience applying AI/ML, optimization, and decision science to oilfield, drilling, completion, reservoir, production, or other oil and gas related domains.
  • Experience architecting end-to-end AI systems, including data pipelines, model development, model serving, evaluation, monitoring, and workflow integration.
  • Experience with generative AI application patterns such as retrieval-augmented generation, domain-specific copilots, multimodal AI workflows, and human-in-the-loop decision support.
  • Experience translating ambiguous business needs into technical roadmaps, architecture options, proof-of-concept demonstrations, and scalable implementation plans.
  • Experience leading cross-functional technical discussions and mentoring engineers or data scientists on AI solution design and best practices.


Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential job functions.

While performing the duties of this job, the employee is regularly required to talk or hear. This is a sedentary role; however, some filing, bending and the ability to lift 20 lbs. is required.


Travel:

This position requires 5-10% domestic and international travel for internal workshops, project work sessions, technical workshops, conferences, and customer presentations. Local travel between other CNPC USA locations and testing or partner facilities may be required.


Work Arrangement:

Telecommuting is permitted less than 50% per week within the same geographic location as the assigned CNPC USA office location.


Supervisory Responsibility:

This position has no direct supervisory responsibilities; however, it does act as a mentor and technical point of contact for less experienced engineers, data scientists, and AI/ML team members.

CNPC USA is an Equal Opportunity Employer (EOE). Qualified applicants are considered regardless of race, color, age, sex, sexual orientation, religion, disability, ethnicity, national origin, marital status, veteran status, or any other legally protected status.

Disclaimer: The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.