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Weekend Remote Process Engineer Jobs in Tulsa, OK

CCT

Machine Learning Engineer (AWS)

Tulsa, OK · Remote

This role sits at the intersection of ML engineering and MLOps and is core to CCT's analytics ... If you would like more information about how your data is processed, please contact us.

CCT

Machine Learning Engineer (AWS)

Tulsa, OK · On-site +1

This role sits at the intersection of ML engineering and MLOps and is core to CCT's analytics ... If you would like more information about how your data is processed, please contact us.

Volt Labs Inc.

Strategic Account Manager (Remote)

Tulsa, OK · Remote

$75K - $90K/yr

Our goal is to improve the developer experience and lower the total cost of ownership by building a ... Build scalable playbooks and processes across the customer lifecycle * Develop data-backed KPIs for ...

Cyntergy

Civil Designer

Tulsa, OK · On-site +1

Director of Civil Engineering Team: Civil Engineering Education: An engineering degree is not ... Our unique work schedule allows for Friday afternoons off, giving you extra time for weekend ...

New

Cyntergy

Civil Designer

Tulsa, OK · On-site +1

Director of Civil Engineering Team: Civil Engineering Education: An engineering degree is not ... Our unique work schedule allows for Friday afternoons off, giving you extra time for weekend ...

New

Cyntergy

Civil Designer

Tulsa, OK · On-site +1

Director of Civil Engineering Team: Civil Engineering Education: An engineering degree is not ... Our unique work schedule allows for Friday afternoons off, giving you extra time for weekend ...

New

Cyntergy

Civil Designer (Tulsa)

Tulsa, OK · On-site +1

Director of Civil Engineering Team: Civil Engineering Education: An engineering degree is not ... Our unique work schedule allows for Friday afternoons off, giving you extra time for weekend ...

New

BOK Financial

Decisions Developer

Tulsa, OK · On-site +1

$70K - $85K/yr

Remote, Tulsa -TUL Areas of Interest: Wealth Management; Business/Technical Analysis Pay ... The Decisions Developer is responsible for providing exceptional business process automation ...

Cyntergy

Civil Designer

Tulsa, OK · On-site +1

Director of Civil Engineering Team: Civil Engineering Education: An engineering degree is not ... Our unique work schedule allows for Friday afternoons off, giving you extra time for weekend ...

New

VIVA USA INC

Physician Reviewer

Tulsa, OK · On-site +1

Participates in the process to evaluate clinical service requests. Participates in the Physician ... Remote 20 - 40 hours/week and possible weekend coverage (in a rotation) VIVA is an equal ...

SmartLight Analytics

Software QA Analyst II

Tulsa, OK · On-site +1

In this role, you will test deliverables from multiple engineering teams, document results, and ... of processes and tooling. We foster a collaborative, learning-oriented culture and encourage ...

Formerra

Account Manager

Tulsa, OK · Remote

Approach the sales process with a high degree of professionalism and effectiveness by successful ... Bachelor's Degree required in Plastics or Polymer Engineering, Business, Chemistry, or related ...

Quanta Services

Scheduler T&D/Substation

Tulsa, OK · Remote

We use in-house talent, expertise and resources to plan, design, engineer, manage, conduct ... Great mentoring & career growth opportunities - we invest in your development #LI-Remote All ...

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All JobsWeekend Remote Process Engineer JobsWeekend Remote Process Engineer Jobs in Tulsa, OK

Weekend Remote Process Engineer information

See Tulsa, OK salary details

$45.2K

$84K

$130.2K

How much do weekend remote process engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for weekend remote process engineer in Tulsa, OK is $84,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $94,100.00 per year, depending on experience, location, and employer.

What are Weekend Remote Process Engineers?

Weekend Remote Process Engineers are professionals who design, analyze, and optimize industrial or business processes, but their work is specifically scheduled for weekends and performed remotely. They often support ongoing operations, troubleshoot issues, and implement process improvements during off-peak times to minimize disruption to regular business activities. Their role requires strong technical knowledge, problem-solving skills, and the ability to communicate effectively with on-site teams while working from a remote location.

What is the difference between Weekend Remote Process Engineer vs Weekend Remote Manufacturing Technician?

AspectWeekend Remote Process EngineerWeekend Remote Manufacturing Technician
CredentialsBachelor's in Engineering or related field, certifications like Six SigmaTechnical diploma or associate degree, technical certifications
Work EnvironmentOffice or remote, process optimization focusManufacturing plants, equipment maintenance
Industry UsageManufacturing, industrial engineeringManufacturing, production facilities

The Weekend Remote Process Engineer primarily focuses on optimizing manufacturing processes remotely, requiring engineering credentials. In contrast, the Weekend Remote Manufacturing Technician handles equipment maintenance and troubleshooting, often with technical diplomas. Both roles are common in manufacturing industries and may be performed remotely on weekends, but their core responsibilities and required qualifications differ.

What are the key skills and qualifications needed to thrive as a Weekend Remote Process Engineer, and why are they important?

To thrive as a Weekend Remote Process Engineer, you need a solid background in process engineering, problem-solving, and a relevant engineering degree such as chemical, industrial, or mechanical engineering. Familiarity with process simulation software, data analysis tools, and remote collaboration platforms is typically required, and certifications like Six Sigma can be beneficial. Strong communication, self-motivation, and the ability to work independently are essential soft skills for excelling in a remote weekend role. These skills ensure efficient process optimization, effective teamwork across distances, and the ability to address issues promptly outside standard hours.

How does a Weekend Remote Process Engineer typically collaborate with on-site teams and ensure smooth handoffs during shift changes?

As a Weekend Remote Process Engineer, effective collaboration with on-site teams is crucial, especially during shift changes. Communication is often managed through detailed shift reports, virtual meetings, and real-time messaging platforms to ensure that all stakeholders are updated on ongoing processes and any issues encountered. Remote engineers are expected to document their work meticulously and proactively flag any potential concerns for the next team. Building strong relationships with on-site staff and other remote colleagues helps ensure seamless operations and quick problem resolution, even when working from different locations and time zones.
What are popular job titles related to Weekend Remote Process Engineer jobs in Tulsa, OK? For Weekend Remote Process Engineer jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Process Engineer jobs in Tulsa, OK look for? The top searched job categories for Weekend Remote Process Engineer jobs in Tulsa, OK are:
Weekend Remote Process Engineer jobs near you
Machine Learning Engineer (AWS)

Machine Learning Engineer (AWS)

CCT

Tulsa, OK • Remote

Full-time

Posted 8 days ago

Job description

Summary
 
We’re looking for a Machine Learning Engineer to design, deploy, and operate production ML systems on Amazon Web Services. You’ll own the full lifecycle in a real-world, high-stakes environment — from training and packaging through deployment, monitoring, retraining, security, and cost control.
 
This role sits at the intersection of ML engineering and MLOps and is core to CCT’s analytics strategy. You’ll partner closely with data scientists, engineers, and product stakeholders to turn complex time-series and transactional data into reliable, observable, and cost-effective ML services that our customers can trust.
 
You’ll thrive here if you naturally dig into why models behave the way they do, enjoy tracing issues to their root cause, and like collaborating across disciplines to ship robust systems that are built to last.
What You'll Do
  • Build and maintain reproducible model training workflows on AWS (SageMaker, S3, Glue, etc.), making retraining, rollback, and experimentation routine rather than heroic.
  • Deploy and operate real-time and batch inference services with full CI/CD pipelines, versioning, and safe rollout strategies (canary, shadow, A/B) so changes are deliberate and observable.
  • Instrument production models for performance, data drift, latency, and errors — and automate retraining triggers when models drift out of tolerance.
  • Maintain model lineage, auditability, and traceability to meet the compliance, governance, and reporting needs of the regulated gaming industry.
  • Enforce least-privilege IAM, encryption, and secure data access patterns across the entire ML platform.
  • Treat cost as a first-class engineering metric — right-size infrastructure, balance batch vs. real-time workloads, and continually reduce platform spend without sacrificing reliability.
  • Collaborate with engineers, data scientists, and product teams to translate business problems into ML solutions, communicate tradeoffs clearly, and iterate based on feedback.
  • Continuously explore new AWS services, ML frameworks, and deployment patterns to improve reliability, observability, and developer velocity on the ML platform.
Requirements
  • 3+ years of experience in machine learning engineering, MLOps, or a closely related discipline.
  • Hands-on experience with AWS ML and data services — SageMaker (training, endpoints, pipelines), S3, Lambda, Step Functions, CloudWatch, MWAA (Apache Airflow).
  • Experience working with time series data, including feature engineering, seasonality handling, and temporal train/test splits.
  • Strong Python skills and familiarity with common ML frameworks (scikit-learn, PyTorch, XGBoost, or equivalent).
  • Experience building and maintaining CI/CD pipelines for ML systems.
  • Demonstrated ability to monitor and debug production ML systems — latency, drift, errors, and data quality — and drive issues to root cause.
  • Comfort with SQL and working with structured data at scale.
  • Able to work collaboratively across teams, assume positive intent, and communicate clearly with both technical and non-technical stakeholders.
  • Track record of self-directed learning and technical growth in areas like AWS, ML frameworks, or deployment patterns.
Nice to Have
  • Experience in a regulated industry (gaming, finance, healthcare) where auditability, explainability, and compliance are first-class concerns.
  • Familiarity with feature stores, model registries, or ML metadata tools (e.g., MLflow, SageMaker Model Registry).
  • Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation).
  • Exposure to data drift detection libraries or custom drift monitoring implementations.
Success Looks Like
  • Production models run reliably with clear, measurable business impact for casino operators.
  • Failures are observable, recoverable, and explainable — with logs, metrics, and traces that tell the full story.
  • ML systems scale predictably with usage and data volume, without runaway cost.
  • The ML platform becomes a trusted, well-understood part of CCT’s product ecosystem — for both internal teams and external customers.

About CCT 

CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. 

Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.