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Entry Level Machine Learning Engineer Jobs in Katy, TX

AI ML Operations Engineer

Houston, TX

$66K - $89K/yr

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Operations Engineer within our AI Center of Excellence group based in Houston, TX. ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

ML Ops Engineer Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help build and deploy machine learning solutions that directly support Cyber Operations. In this role ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Machine learning and data analytics expertise is employed in developing tools to optimize ... Master's Degree in Chemical Engineering. GATE Energy is an Equal Opportunity Employer

Molder I - Machine Operator

Stafford, TX · On-site

$14.25 - $17.25/hr

Chart Industries is looking for an experienced Molder - Machine Operator for our office in Stafford ... Are responsible for following defined work procedures and engineering standards * Must be able to ...

Molder I - Machine Operator

Stafford, TX

$14.25 - $17.25/hr

Chart Industries is looking for an experienced Molder - Machine Operator for our office in Stafford ... Are responsible for following defined work procedures and engineering standards * Must be able to ...

Molder I - Machine Operator

Stafford, TX

$14.25 - $17.25/hr

Chart Industries is looking for an experienced Molder - Machine Operator for our office in Stafford ... Are responsible for following defined work procedures and engineering standards * Must be able to ...

New

Machine learning and data analytics expertise is employed in developing tools to optimize ... Master's Degree in Chemical Engineering. GATE Energy is an Equal Opportunity Employer Equal ...

Hands-on experience applying machine learning to real-world problems in science and engineering * Strong background in machine learning: classical and deep learning techniques (examples may include ...

Hands-on experience applying machine learning to real-world problems in science and engineering * Strong background in machine learning: classical and deep learning techniques (examples may include ...

Hands-on experience applying machine learning to real-world problems in science and engineering * Strong background in machine learning: classical and deep learning techniques (examples may include ...

Research experiences in machine learning, AI-enhanced wireless systems, trustworthy AI, etc. * Published high quality papers in journals and conferences. * Rich experience in programming such as ...

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Entry Level Machine Learning Engineer information

See Katy, TX salary details

$27.5K

$63.6K

$108.3K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for entry level machine learning engineer in Katy, TX is $63,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $72,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Katy, TX? The most popular types of Machine Learning Engineer jobs in Katy, TX are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Katy, TX? For Entry Level Machine Learning Engineer jobs in Katy, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Katy, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Katy, TX are:
What cities near Katy, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Katy, TX with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Katy, TX as of June 2026, with employment types broken down into 11% Internship, 74% Full Time, 9% Part Time, and 6% Temporary. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $63,639 per year, or $30.6 per hour.
AI ML Operations Engineer

AI ML Operations Engineer

Oxy

Houston, TX

$66K - $89K/yr

Full-time

Posted 6 days ago


Job description

Oxyproduces,markets and transportsoil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership incarbon managementto advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visitOxy

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 ofAI Machine Learning Operations Engineerwithin ourAI Center of Excellencegroup based inHouston, 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

  • Designs production-grade ML systems end-to-end (data training deployment monitoring) with experience

  • Owns production systems (debugging, incident response, reliability, SLAs, cost awareness)

  • Strong data engineering fundamentals (pipeline reliability, data quality, versioning, and data)

  • Builds reusable platform patterns that reduce duplication and enable teams to ship faster and more safely

  • Navigates cloud architecture complexity (AWS/Databricks/IaC) with a bias toward simplicity and maintainability

  • Works effectively across teams (data science, engineering, platform), can lead training, can influence adoption

  • Understanding of emerging agentic and LLM assisted development patterns

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 3 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

  • Knowledge of Linux environment required

  • Strong knowledge of Microsoft products (Excel, Project, PowerPoint, Word, Power BI).

  • 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)

Additional Desired Qualifications:

  • Certified in Amazon Web services (AWS) cloud provider is highly preferred.

  • Ideally AWS certified in Machine Learning Specialty

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

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