AI ML Operations Engineer
$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. ...
$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. ...
$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 ...
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 ...
Houston, TX · On-site
$77K - $202K/yr
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 ...
Houston, TX · On-site
$77K - $202K/yr
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 ...
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 ...
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
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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
$99K - $232K/yr
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 ...
$99K - $232K/yr
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 ...
Houston, TX · Remote
$110K - $144K/yr
The role combines deep system-level thinking, applied machine learning, and infrastructure engineering to enable scalable agentic AI ecosystems -- integrating LLMs, vector databases, retrieval ...
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Houston, TX · Remote
$110K - $144K/yr
The role combines deep system-level thinking, applied machine learning, and infrastructure engineering to enable scalable agentic AI ecosystems -- integrating LLMs, vector databases, retrieval ...
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
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
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 ...
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 ...
$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 ...
$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 ...
$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
$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
Houston, TX · On-site
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 ...
Houston, TX · On-site
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 ...
ML / AI Engineer - MLOps & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract ... This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud ...
ML / AI Engineer - MLOps & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract ... This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud ...
ML / AI Engineer - MLOps & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract ... This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud ...
ML / AI Engineer - MLOps & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract ... This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud ...
ML / AI Engineer - MLOps & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract ... This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud ...
Quick apply
ML / AI Engineer - MLOps & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract ... This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud ...
ML / AI Engineer - MLOps & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract ... This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud ...
ML / AI Engineer - MLOps & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract ... This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud ...
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 ...
Quick apply
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 ...
Houston, TX · On-site +1
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 ...
Houston, TX · On-site +1
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 ...
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 ...
$27.5K - $34.9K
2% of jobs
$34.9K - $42.2K
10% of jobs
$47K is the 25th percentile. Wages below this are outliers.
$42.2K - $49.5K
20% of jobs
$49.5K - $56.9K
13% of jobs
The median wage is $58.7K / yr.
$56.9K - $64.2K
21% of jobs
$69K is the 75th percentile. Wages above this are outliers.
$64.2K - $71.6K
14% of jobs
$71.6K - $78.9K
7% of jobs
$78.9K - $86.2K
5% of jobs
$86.2K - $93.6K
3% of jobs
$93.6K - $100.9K
2% of jobs
$100.9K - $108.3K
2% of jobs
$27.5K
$63.6K
$108.3K
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.
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.
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.

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.
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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.
Oil and gas extraction
10,000+ Employees
Houston, TX, US