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Weekend Machine Learning Jobs in Oklahoma (NOW HIRING)

Sr. Software Engineer

Oklahoma City, OK ยท On-site

$113K - $149K/yr

They are seeking a Senior Software Engineer responsible for building and operating platforms and tools that support the development and lifecycle management of machine learning models and data ...

Sr. Software Engineer

Oklahoma City, OK

$100K - $132K/yr

Design, develop, and support machine learning operations (MLOps) platforms and tools in support of data science activities * Implement and maintain automated pipelines supporting the development ...

Sr. Software Engineer

Oklahoma City, OK

$113K - $150K/yr

Design, develop, and support machine learning operations (MLOps) platforms and tools in support of data science activities * Implement and maintain automated pipelines supporting the development ...

This role designs and implements machine learning models within the Data Integration Platform (DIP) to enable anomaly detection, root cause analysis, service health prediction, and automated decision ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

AI & GenAI Data Scientist - Manager

Tulsa, OK ยท On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Summary We are seeking talented individuals to join our Data Science team, developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.

Summary We are seeking talented individuals to join our Data Science team, developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.

Machine Operator, Packaging

Tulsa, OK ยท On-site

$18 - $24/hr

Willingness to work flexible hours, including early morning, nights, and weekends Benefits Overview ... If you are interested in learning the status of your application, please note you will be contacted ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Machine Operator, Packaging

Tulsa, OK

$16 - $21/hr

Willingness to work flexible hours, including early morning, nights, and weekends Benefits Overview ... If you are interested in learning the status of your application, please note you will be contacted ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

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Showing results 1-20

Weekend Machine Learning information

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, 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.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as machine learning engineers, healthcare professionals, and skilled tradespeople, are more likely to survive AI automation. These roles often involve nuanced decision-making, emotional intelligence, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What jobs pay $2000 a day?

High-paying jobs that can pay $2000 a day often include specialized roles such as senior consultants, freelance software developers, or certain executive positions. These roles typically require advanced skills, extensive experience, and sometimes certification, and they may involve project-based or contract work with high hourly or daily rates.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes advanced degrees or certifications. Compensation at this level often includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.
What are the most commonly searched types of Machine Learning jobs in Oklahoma? The most popular types of Machine Learning jobs in Oklahoma are:
What are popular job titles related to Weekend Machine Learning jobs in Oklahoma? For Weekend Machine Learning jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning jobs in Oklahoma look for? The top searched job categories for Weekend Machine Learning jobs in Oklahoma are:
What cities in Oklahoma are hiring for Weekend Machine Learning jobs? Cities in Oklahoma with the most Weekend Machine Learning job openings:

Sr. Software Engineer

Expand Energy

Oklahoma City, OK โ€ข On-site

$113K - $149K/yr

Full-time

Posted 7 days ago


Job description

Job Summary:
Expand Energy is a dynamic, growing company focused on discovering and developing unconventional oil and natural gas assets onshore in the United States. They are seeking a Senior Software Engineer responsible for building and operating platforms and tools that support the development and lifecycle management of machine learning models and data products, while collaborating with cross-functional teams to deliver advanced analytics solutions.
Responsibilities:
โ€ข Collaborate with cross-functional teams including Business Stakeholders, Business Analysts, Data Engineers, and other Software Engineers to identify and define requirements
โ€ข Design, develop, and support machine learning operations (MLOps) platforms and tools in support of data science activities
โ€ข Implement and maintain automated pipelines supporting the development, deployment, and operation of machine learning models and data products, ensuring scalability, reliability, and efficiency
โ€ข Develop and maintain documentation for platforms, pipelines, and operational processes
โ€ข Participate in code reviews, testing, and deployment activities, adhering to SDLC best practices
โ€ข Evaluate and recommend tools, patterns, and process improvements to enhance machine learning and advanced analytics delivery
โ€ข Collaborate with peers to share knowledge, support team capability development, and promote consistent engineering and MLOps practices
Qualifications:
Required:
โ€ข High proficiency in Python as a primary engineering language, with experience building, testing, and operating production systems supporting machine learning and analytics workloads
โ€ข High proficiency with SQL, and familiarity with Spark or other distributed data processing frameworks
โ€ข Experience establishing and operating a sustainable MLOps environment, including model deployment, pipeline automation, monitoring, and lifecycle management
โ€ข Strong software engineering fundamentals, including object-oriented design, unit testing, exception handling, and use of common design patterns
โ€ข Expertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases
โ€ข Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks
โ€ข Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions
โ€ข Strong knowledge of SDLC processes, including Agile methodologies
โ€ข Excellent problem-solving skills and ability to troubleshoot complex issues in live production environments
โ€ข Strong communication and collaboration skills, with the ability to work effectively in a team environment
โ€ข Minimum: High school diploma or GED
โ€ข Minimum: 5 - 8 years related work experience
Preferred:
โ€ข Bachelorโ€™s degree - from accredited university - IT, MIS, Information Systems, Computer Science or related field
Company:
Expand Energy is North Americaโ€™s largest natural gas producer, powered by dedicated and innovative employees focused on expanding the value of natural gas by connecting scale to growing markets. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.