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Ai Optimization Jobs in Spring, TX (NOW HIRING)

NobleAI

Senior Applied AI/ML Scientist

Houston, TX

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Apply techniques such as supervised/unsupervised learning, generative models, and optimization ...

Kirkland & Ellis LLP

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

Troubleshooting & Optimization: Diagnose and resolve complex issues across AI systems and integrations, performing root cause analysis and implementing long-term fixes. * Automation & Efficiency:

NobleAI

Senior Applied AI/ML Scientist

Houston, TX · On-site +1

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Apply techniques such as supervised/unsupervised learning, generative models, and optimization ...

Kirkland & Ellis LLP.

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

Troubleshooting & Optimization: Diagnose and resolve complex issues across AI systems and integrations, performing root cause analysis and implementing long-term fixes. * Automation & Efficiency:

NobleAI

Senior Applied AI/ML Scientist

Houston, TX · Remote

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Apply techniques such as supervised/unsupervised learning, generative models, and optimization ...

Baker Hughes

AI Solutioning Consultant

Houston, TX · On-site +1

Providing ongoing enhancements and optimization recommendations based on business feedback and solution performance. * Serving as a trusted advisor to business executives, translating complex AI ...

Baker Hughes

AI Solutioning Consultant

Houston, TX · On-site +1

Providing ongoing enhancements and optimization recommendations based on business feedback and solution performance. * Serving as a trusted advisor to business executives, translating complex AI ...

Jack App

Content & Marketing Coordinator

Spring, TX · On-site

$80K/yr

Support SEO and AI citation strategies through comparison pages and review campaigns * Contribute to industry partnership and event-related marketing initiatives * Maintain consistent tone and ...

GE Aerospace

Software Engineer AI/ML

Houston, TX

$109K - $131K/yr

Ensure AI/ML models deploy reliably to AWS infrastructure with proper monitoring, logging, and performance optimization * Translate requirements into a prioritized backlog of AI/ML products, driving ...

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All JobsAi Optimization JobsAi Optimization Jobs in Spring, TX

Ai Optimization information

See Spring, TX salary details

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How much do ai optimization jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for ai optimization in Spring, TX is $53.08, according to ZipRecruiter salary data. Most workers in this role earn between $38.51 and $65.48 per hour, depending on experience, location, and employer.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

What are the key skills and qualifications needed to thrive as an AI Optimization Specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

Which 3 jobs will survive AI?

AI optimization professionals, data scientists, and cybersecurity specialists are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and safeguarding systems, which are less easily automated. These jobs require advanced analytical skills, domain expertise, and adaptability to evolving technologies, making them more resilient to AI automation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized technical expertise.

What are some common challenges faced by professionals in AI Optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

Which AI job is high paying?

AI roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist tend to be among the highest paying in the field, especially with advanced skills in deep learning, natural language processing, and experience with tools like TensorFlow or PyTorch. Senior positions or specialized roles in AI development and strategy often offer higher salaries due to their expertise and impact on business outcomes.
What are popular job titles related to Ai Optimization jobs in Spring, TX? For Ai Optimization jobs in Spring, TX, the most frequently searched job titles are:
What cities near Spring, TX are hiring for Ai Optimization jobs? Cities near Spring, TX with the most Ai Optimization job openings:
Ai Optimization jobs near you

Industrial AI Engineer & Analyst

Novetus Engineering LLC

Houston, TX • On-site

Full-time

Posted 8 days ago

Job description

The Industrial AI Engineer & Analyst will serve as the organization's in-house specialist for industrial artificial intelligence - functioning as an SME in the same way a process, mechanical, or electrical engineer would serve as a discipline expert. This role is being established to fill a critical capability gap: the ability to rigorously evaluate, validate, and interpret AI solutions offered by external vendors in the industrial domain.
The individual will not be expected to design or code AI algorithms. Instead, they will apply engineering judgment, industrial domain knowledge, and working familiarity with AI/ML concepts to determine whether vendor AI tools are technically sound, operationally realistic, and aligned with engineering principles.
This role is ideal for someone with an engineering background and real-world industrial experience who has also developed competency in data science, analytics, or AI - either through formal education or professional training.
Key Responsibilities:
AI Application Evaluation & Vendor Validation
  • Act as the internal SME for industrial AI, evaluating vendor AI offerings across process optimization, rotating equipment diagnostics, and other industrial applications.
  • Validate vendor claims, model outputs, and optimization recommendations using engineering principles and operational context.
  • Assess whether AI-driven insights (e.g., anomaly detection, predictive maintenance, optimization scoring) are technically credible and actionable.
  • Identify unrealistic assumptions, data gaps, or engineering inconsistencies in vendor solutions.

Industrial Systems & Predictive Maintenance Analysis
  • Support the transition from time-based maintenance to condition-based and predictive maintenance strategies.
  • Analyze sensor and equipment data (vibration, temperature, pressure, chemical signatures, etc.) to confirm whether AI-generated diagnostics align with known system behavior.
  • Work with engineering teams to determine appropriate corrective actions and follow-up evaluations.

Data & Model Understanding (Non-Developer Role)
  • Understand the data types, quality requirements, and operational conditions necessary for effective industrial AI.
  • Collaborate with vendors and internal data teams to ensure data sufficiency and relevance.
  • Communicate effectively with data scientists without needing to build models directly.

Cross-Functional Collaboration
  • Partner with process, mechanical, reliability, and operations engineers to ensure AI tools support real-world industrial needs.
  • Translate AI outputs into engineering language and operational decision-making.
  • Provide structured feedback to vendors to improve model performance and applicability.

Documentation & Reporting
  • Produce clear technical assessments of AI tools, including validation results, limitations, and recommendations.
  • Develop internal frameworks for evaluating future AI technologies.
  • Maintain documentation of model performance, test cases, and engineering interpretations.

Required Qualifications
  • Bachelor's degree in Engineering (Mechanical, Chemical, Electrical, Industrial, or related).
  • Broad industrial experience in plant operations, field engineering, reliability, or similar environments.
  • Working knowledge of AI/ML concepts, data analysis, and predictive modeling (formal training or a master's in data science is a plus).
  • Strong ability to evaluate technical claims and interpret complex data-driven outputs.
  • Excellent analytical, communication, and critical-thinking skills.

Preferred Qualifications
  • Experience with condition-based or predictive maintenance programs.
  • Familiarity with industrial sensors, control systems, and equipment diagnostics.
  • Exposure to data science tools or workflows (Python, SQL, dashboards) at a conceptual or applied level.
  • Prior experience interfacing with technology vendors or evaluating external technical solutions.

Work Arrangement
  • Primary expectation: Full-time, on-site.
  • No formal hybrid or remote program is currently offered.
  • May be structured as a part time initially, if requested by the candidate.

Ideal Candidate Profile
The strongest candidates will:
  • Have an engineering degree and real-world industrial/field experience.
  • Possess additional training or education in data science, analytics, or AI.
  • Be comfortable acting as an internal SME for industrial AI-similar to a discipline engineer.
  • Have the ability to challenge vendor claims, validate AI outputs, and ensure engineering rigor.
  • Thrive at the intersection of engineering intuition and data-driven insights.

About Novetus Engineering LLC Novetus is unsurpassed in our commitment to achieving our objectives as efficiently as possible. From a piping modification or pump upgrade project to helping to manage a multi-billion-dollar international development, Novetus will field the right team and the right systems to get the work done quickly and fit for the purpose. Novetus combines engineering workflow automation expertise with an experienced team of engineers and project managers to execute projects with exceptional efficiency. An engineering company focused on the oil, gas, and petrochemical industry, Novetus is based in Houston, Texas and is privately held.

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