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Ai Machine Learning Engineer Jobs in Texas (NOW HIRING)

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

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 ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

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 ...

ExtendMyTeam

Machine Learning Engineer

Austin, TX

This team is investing heavily in AI-driven innovation to improve operational efficiency ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Experience supporting enterprise-scale analytics, data science, and AI initiatives. * Experience mentoring technical teams and providing technical leadership on machine learning and data engineering ...

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX

$120K - $550K/yr

Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real ...

Cymertek

Machine Learning Engineer

San Antonio, TX

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

Mariana Minerals

Machine Learning Engineer

Houston, TX · On-site

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 ...

New

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

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All JobsAi Machine Learning Engineer JobsAi Machine Learning Engineer Jobs in Texas

Ai Machine Learning Engineer information

See Texas salary details

$29.3K

$120K

$180.3K

How much do ai machine learning engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for ai machine learning engineer in Texas is $119,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

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

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI Machine Learning Engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

How much do AI ML engineers make?

AI Machine Learning Engineers typically earn between $80,000 and $150,000 annually, with salaries increasing based on experience, education, and location. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries, often exceeding $200,000.

What engineers make $500,000?

Senior AI machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and industry expertise. Compensation at this level reflects significant experience, impact, and often involves stock options or bonuses.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in machine learning algorithms, programming languages like Python, and frameworks such as TensorFlow or PyTorch to develop intelligent systems, leading to strong job growth and competitive salaries in this field.

What is an AI Machine Learning Engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

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

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

What are popular job titles related to Ai Machine Learning Engineer jobs in Texas? For Ai Machine Learning Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Machine Learning Engineer jobs in Texas look for? The top searched job categories for Ai Machine Learning Engineer jobs in Texas are:
What cities in Texas are hiring for Ai Machine Learning Engineer jobs? Cities in Texas with the most Ai Machine Learning Engineer job openings:
Ai Machine Learning Engineer jobs near you
Infographic showing various Ai Machine Learning Engineer job openings in Texas as of June 2026, with employment types broken down into 1% Internship, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.

AI/ Machine Learning Engineer

Cogent Info

Austin, TX

Other

Posted 7 days ago

Job description

Mid-Level AI/Machine Learning Engineer

Join one of the top 10 global powerhouses transforming the future of Market. As an AI / Machine Learning Engineer, you'll play a key role in designing, developing, and deploying intelligent systems that support millions of users worldwide. From building scalable machine learning models and data pipelines to deploying AI solutions on cloud platforms, this is your opportunity to make a global impact with next-generation, data-driven systems. Whether you're a model builder, problem-solver, or technical leader, this team values engineers who bring innovation, collaboration, and a passion for applying AI at scale.

Location: flexible to relocate nationwide / relocate in particular time zone Full-time on-site required

Build Intelligent Systems That Make an Impact!

We're looking for mid-level AI professionals (3–7 years' experience) who are passionate about building, deploying and scaling AI and Generative AI solutions in production environments.

Open Roles

  • Machine Learning Engineer
  • AI / GenAI Engineer
  • MLOps / AI Platform Engineer
  • AI Application Engineer

What You'll Do

  • Design, train and deploy ML and GenAI models for real-world applications
  • Build LLM-based applications, RAG pipelines and AI-powered APIs
  • Develop scalable MLOps pipelines for model training, validation, CI/CD and monitoring
  • Work with cloud platforms (AWS, Azure, GCP) and GPU/accelerated workloads
  • Integrate AI models into web and backend applications
  • Monitor model performance, drift and reliability in production

What We're Looking For (Mid-Level)

  • 3–7 years of experience in ML / AI / MLOps / AI Engineering
  • Strong programming in Python (PyTorch, TensorFlow, scikit-learn)
  • Experience with LLMs, prompt engineering, vector databases and RAG frameworks
  • Knowledge of Docker, Kubernetes, CI/CD and cloud ML services
  • Experience with APIs, microservices and production deployments

Preferred Skills & Certifications

  • Experience with OpenAI, Azure OpenAI, Vertex AI, Bedrock, Hugging Face
  • MLOps tools: MLflow, Kubeflow, Airflow, Weights & Biases
  • Cloud certifications or AI/ML certifications
  • Exposure to data pipelines, streaming and feature stores

Cogent Infotech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels welcome and valued. We encourage applications from individuals of all backgrounds, identities, abilities, and experiences. If you're excited about this role but don't meet every requirement, we still encourage you to apply

At Cogent Infotech, your ideas matter. Join a purpose-driven organization that celebrates diversity, encourages collaboration, and invests in your future.

Apply