1

Manager Edge Ai Machine Learning Jobs in Spring, TX

The company leverages its global leadership in carbon management to advance lower-carbon ... AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

... AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ... Knowledge of Terraform and Ansible for automating infrastructure management * Knowledge of YAML for ...

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Collaborate with cross-functional teams, including data scientists, product managers, and software ...

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Machine Learning with MLOps * Convert business problems to solutions Job Summary: We are seeking an ... Implement personalized recommendation engines using cutting-edge frameworks (e.g., Semantic Kernel)

Manages relationships with senior business partners to evaluate and foster data driven innovation ... Strong foundation in data science and core machine learning concepts. * Experience with large ...

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Manages relationships with business partners to evaluate and foster data driven innovation ...

They are seeking a Machine Learning Engineer to develop and improve machine learning systems for ... AI, and defense technologies. Founded in , the company is headquartered in San Francisco, CA, US ...

next page

Showing results 1-20

Manager Edge Ai Machine Learning information

See Spring, TX salary details

$27.6K

$68.9K

$115.7K

How much do manager edge ai machine learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for manager edge ai machine learning in Spring, TX is $68,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $77,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

What are popular job titles related to Manager Edge Ai Machine Learning jobs in Spring, TX? For Manager Edge Ai Machine Learning jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Manager Edge Ai Machine Learning jobs in Spring, TX look for? The top searched job categories for Manager Edge Ai Machine Learning jobs in Spring, TX are:
What cities near Spring, TX are hiring for Manager Edge Ai Machine Learning jobs? Cities near Spring, TX with the most Manager Edge Ai Machine Learning job openings:
AI Machine Learning Engineer

AI Machine Learning Engineer

Oxy

Houston, TX • On-site

Full-time

Posted 9 days ago


Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The incumbent will research, build, and design artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes.
Essential Job Responsibilities
  • Work with Subject Matter Experts to design appropriate machine learning model types and architectures for particular applications ranging from subsurface characterization, reservoir engineering, production, and facilities etc
  • Tune algorithm hyper-parameters and perform model training and validation
  • Create workflows to optimize performance for computationally heavy workloads
  • Collaborate with Machine Learning Operation team to deploy machine learning solutions to the cloud

Qualifications
  • Bachelor's degree in computer science, mathematics, physics, engineering or related field required
  • Master's degree is highly preferred. Equivalent combination of advanced education and relevant experience will be considered.
  • A minimum of 5 years of experience and deep knowledge in orchestration methods and tools to optimally use computational infrastructure, and machine learning methods and algorithms
  • Strong Python or R programming skills required
  • Experience developing, architecting, and running ML or deep learning workload in the Cloud.
  • Ability to express the intuition behind basic ML algorithms
  • Experience performing basic hyper parameter optimization
  • Ability to follow model training, deployment, and operational best practices
  • Experience with Docker for containerization and Kubernetes for orchestration
  • Knowledge of Terraform and Ansible for automating infrastructure management
  • Knowledge of YAML for automating model and application code deployment
  • Understanding of data engineering principles and databases (relational, NoSQL)
  • Strong critical thinking and communication skills

Additional Desired Qualifications:
  • AWS certification is highly preferred, with a strong preference for the AWS Certified Machine Learning - Specialty credential.
  • Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte Carlo (MCMC), and causal inference.
  • Hands-on experience in geospatial data analytics using Esri products, with a focus on ArcGIS Enterprise.
  • Experience with LLM-powered applications such as chatbots, question-answering systems, document processing and agentic workflow design.

Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US