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Machine Learning Ai Jobs in Dallas, TX (NOW HIRING)

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the ...

Experience implementing production solutions that leverage generative AI and LLMs * Machine learning model solution design, build, orchestration and implementation * Experience building solutions ...

As part of our AI team, you'll collaborate closely with engineering teams to deliver high-impact ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Machine Learning Tutor

Dallas, TX · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Machine Learning Tutor

Allen, TX · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Machine Learning Tutor

Irving, TX · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.

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Showing results 1-20

Machine Learning Ai information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

How much do machine learning ai jobs pay per year?

As of Jul 26, 2026, the average yearly pay for machine learning ai in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Engineer, and why are they important?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Software Developer, and AI Product Manager. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and understanding of algorithms and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning AI specialist?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What is AI ML salary?

The salary for a Machine Learning Engineer or AI specialist varies based on experience, location, and skill set, but typically ranges from $80,000 to over $150,000 annually in many regions. Advanced skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch can influence compensation levels.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong industry demand can earn salaries of $500,000 or more annually, especially in high-paying sectors like technology and finance. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.

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

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What are the most commonly searched types of Machine Learning Ai jobs in Dallas, TX? The most popular types of Machine Learning Ai jobs in Dallas, TX are:
What are popular job titles related to Machine Learning Ai jobs in Dallas, TX? For Machine Learning Ai jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai jobs in Dallas, TX look for? The top searched job categories for Machine Learning Ai jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Ai jobs? Cities near Dallas, TX with the most Machine Learning Ai job openings:
Infographic showing various Machine Learning Ai job openings in Dallas, TX as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.
Senior Principal, AI Product Owner - Machine Learning

Senior Principal, AI Product Owner - Machine Learning

Entegris

Decatur, TX • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Entegris rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

85th of 535 rated manufacturers


Job description

Job Title:

Senior Principal, AI Product Owner - Machine Learning

Job Description:

Senior AI Product Owner - Machine Learning

AI, Data & Digital Enablement - Global Supply Chain

Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission.

The Role:

Entegris is seeking a Senior AI Product Owner - Machine Learning to join our Global Supply Chain organization in a remote, U.S.-based role. Within Global Supply Chain, the AI, Data & Digital Enablement team is building the data foundation, AI capabilities, and digital products that make our supply chain more predictive, resilient, and efficient.

Reporting to the VP, AI and Data, you will own the strategy, roadmap, and delivery of predictive and prescriptive machine learning products that drive better decisions across the supply chain. This is a senior, builder-level role: you'll shape the product portfolio, stand up the practice, establish governance and guardrails, and ensure the underlying data is AI-ready - partnering with business leaders, IT, data engineering, and data science to take solutions from concept to scaled production.

What You'll Do:

Machine Learning Product Leadership

  • Be the domain expert and provide senior principal, consultant level approach for developing and maturing best practices.Ownthe roadmap for ML products - demand and supply forecasting, inventory and network optimization, predictive quality and maintenance, yield, and risk scoring.

  • Partner with data science and ML engineering across the full lifecycle - problem framing, feature engineering, training, validation, deployment, and monitoring - with strongMLOpsdiscipline (CI/CD, drift detection, retraining).

  • Champion feature stores, data contracts, and model documentation to make solutions reproducible and production-grade.

  • Translate model outputs into decisions and workflows that operations teams trust and adopt.

Data Readiness for AI

  • Partner with data engineering and governance teams to assess and elevate the readiness of supply chain, manufacturing, quality, and operational data for AI - accuracy, completeness, lineage, timeliness, and accessibility.

  • Champion the data-quality standards, metadata, and master data your products depend on, and drive readiness assessments before solutions move to production.

Building the Practice

  • Stand up and scale the capability within Entegris' AI, Data & Digital Enablement function - reusable patterns, playbooks, reference architectures, and evaluation frameworks.

  • Mentor product owners and analysts, grow AI literacy, and cultivate a community of practice that lets delivery scale across the organization.

Establishing Governance

  • Define and operationalize Responsible AI governance - risk, security, data and IP protection, model/solution oversight, audit trails, and compliance - aligned to Entegris policy and emerging AI regulation.

  • Set the guardrails and approval gates appropriate to a mission-critical operations environment.

Value Creation

  • Build business cases, prioritize by ROI, and instrument value tracking against clear baselines (cost-to-serve, working capital, cycle time, quality, and service).

  • Report realized impact to supply chain and enterpriseleadership, andcontinuously reprioritize the portfolio toward measurable outcomes.

Stakeholder & Cross-Functional Leadership

  • Run discovery with business owners, lead change management and adoption, and communicate progress, value, and risk to senior leadership.

  • Influence and align business, IT, data engineering, and data science partners around a shared roadmap.

What We Seek:

  • Strong command of the ML lifecycle andMLOps- feature engineering, training, validation, deployment, monitoring, and retraining.

  • 15+ years inenterprise data, software development practices and/orproduct management/ownership, including 4+ years delivering AI/ML or data products, with a track record of taking solutions to scaled production.

  • Demonstrated experience assessing and improving data readiness for AI - quality, lineage, metadata, and accessibility.

  • Proven success building a new capability or practice and scaling it across an organization.

  • Experience establishing AI governance, risk, and Responsible AI controls.

  • Track record of value creation - connecting AI products to quantified business outcomes.

  • Excellent stakeholder leadership and executive communication; able to influence senior business and technical leaders.

  • Bachelor's degree in a relevant field; advanced degree a plus.

Outstanding Candidates Will Have:

  • Experience with ML platforms and Google Cloud Platform (GCP), including Vertex AI andBigQueryML, is a plus.

  • Experience in semiconductor, advanced materials, manufacturing, or global supply chain environments.

  • Familiarity with enterprise platforms such as Microsoft Azure AI / Copilot, Databricks, SAP, and ServiceNow.

  • Relevant certifications in product management, AI/ML, or cloud, and experience with Agile and modern product operating models.

What We Offer:

At Entegris, we invest in providing opportunity to our employees and promote from within. The new hire in this role will have the potential to grow and create relationships across the organization and be recognized for demonstrated success and adherence to company PACE values.

Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

  • Compensation: $175,000 - $230,000 per year range with actual pay dependent on candidate overall skills for the role

  • Generous 401(K) plan with an impressive employer match

  • Excellent health, dental and vision insurance packages to fit your needs

  • Flexible work schedule and 11 paid holidays a year

  • Paid time off (PTO) policy that empowers you to take the time you need to recharge

  • Education assistance to support your learning journey

  • Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence.

Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.

At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.

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