Machine Learning Engineer (AWS)
Tulsa, OK · On-site
... systems on Amazon Web Services. You'll own the full lifecycle in a real-world, high-stakes ... operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with ...
Machine Learning Engineer (AWS)
Tulsa, OK · On-site
... systems on Amazon Web Services. You'll own the full lifecycle in a real-world, high-stakes ... operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with ...
Assistant Admin II
Tulsa, OK · On-site
$15.50 - $20.75/hr
... Amazon, etc.). * Ensure safety and security of all agency monies, including petty cash funds and ... Office Operations and Purchasing * Identify and coordinate any necessary building repairs ...
Assistant Admin II
Tulsa, OK · On-site
$15.50 - $20.75/hr
... Amazon, etc.). * Ensure safety and security of all agency monies, including petty cash funds and ... Office Operations and Purchasing * Identify and coordinate any necessary building repairs ...
Machine Learning Engineer (AWS)
Tulsa, OK · On-site +1
... systems on Amazon Web Services. You'll own the full lifecycle in a real-world, high-stakes ... operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with ...
Machine Learning Engineer (AWS)
Tulsa, OK · On-site +1
... systems on Amazon Web Services. You'll own the full lifecycle in a real-world, high-stakes ... operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with ...
... systems on Amazon Web Services. You'll own the full lifecycle in a real-world, high-stakes ... operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with ...
Quick apply
... systems on Amazon Web Services. You'll own the full lifecycle in a real-world, high-stakes ... operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with ...
Park Manager
Broken Arrow, OK · On-site
$58K/yr
Amazon accounts audits nationally among all KE parks. * Services assistance for the operations chats. * Other duties as assigned. PHYSICAL DEMANDS : * Stand, walk, bend, twist constantly. * Frequent ...
Park Manager
Broken Arrow, OK · On-site
$58K/yr
Amazon accounts audits nationally among all KE parks. * Services assistance for the operations chats. * Other duties as assigned. PHYSICAL DEMANDS : * Stand, walk, bend, twist constantly. * Frequent ...
Denodo Developer
Tulsa, OK · On-site
Establish and implement operations （e.g. monitoring and logging） to keep platform （multiple ... SQLServer, Amazon S3 and APIs -Validate and ensure non-functional requirements (e.g. system ...
Quick apply
Denodo Developer
Tulsa, OK · On-site
Establish and implement operations （e.g. monitoring and logging） to keep platform （multiple ... SQLServer, Amazon S3 and APIs -Validate and ensure non-functional requirements (e.g. system ...
Finance Analytics & AI Manager
Tulsa, OK · On-site
From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... One or more certifications in artificial intelligence, machine learning, Amazon Web Services ...
Finance Analytics & AI Manager
Tulsa, OK · On-site
From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... One or more certifications in artificial intelligence, machine learning, Amazon Web Services ...
Finance Analytics & AI Manager
Tulsa, OK · On-site
From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... One or more certifications in artificial intelligence, machine learning, Amazon Web Services ...
Finance Analytics & AI Manager
Tulsa, OK · On-site
From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... One or more certifications in artificial intelligence, machine learning, Amazon Web Services ...
Amazon Operations information
See Tulsa, OK salary details
$9.91 - $13.26
9% of jobs
$15.45 is the 25th percentile. Wages below this are outliers.
$13.26 - $16.61
24% of jobs
The median wage is $19.17 / hr.
$16.61 - $19.96
22% of jobs
$19.96 - $23.32
16% of jobs
$24.81 is the 75th percentile. Wages above this are outliers.
$23.32 - $26.67
9% of jobs
$26.67 - $30.02
7% of jobs
$30.02 - $33.38
4% of jobs
$33.38 - $36.73
4% of jobs
$36.73 - $40.08
3% of jobs
$40.08 - $43.44
1% of jobs
$43.44 - $46.79
0% of jobs
$9
$23
$46
How much do amazon operations jobs pay per hour?
As of Aug 12, 2026, the average hourly pay for amazon operations in Tulsa, OK is $23.01, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $26.54 per hour, depending on experience, location, and employer.
What is Amazon Operations?
Amazon Operations refer to the various processes and teams responsible for ensuring that products are efficiently stored, picked, packed, and delivered to customers. This includes roles in fulfillment centers, sortation centers, delivery stations, and logistics management. The operations team plays a crucial role in maintaining Amazon’s fast shipping promises and high customer satisfaction. Employees may work in areas such as inventory management, supply chain optimization, quality assurance, or transportation, depending on their specific position within Amazon Operations.
What are the key skills and qualifications needed to thrive in Amazon Operations?
To thrive in Amazon Operations, you need strong organizational skills, problem-solving abilities, and a background in supply chain management or logistics, often supported by a relevant degree. Familiarity with warehouse management systems (WMS), data analytics tools, and Lean or Six Sigma certifications is highly valued. Leadership, effective communication, and adaptability are crucial soft skills for managing teams and responding to rapid operational changes. These skills ensure efficient workflow, high productivity, and the ability to meet Amazon's demanding performance standards.
Is Amazon operations a high paying job?
Amazon operations roles, such as warehouse associates and operations managers, typically offer wages that are competitive within the logistics industry but are not considered high-paying compared to other professional or specialized roles. Compensation varies based on position, experience, and location, with some roles offering additional benefits like bonuses and overtime pay.
What are some typical challenges faced by professionals in Amazon Operations, and how can I prepare for them?
Professionals in Amazon Operations often navigate fast-paced environments where priorities can shift quickly, especially during peak seasons. Common challenges include managing large teams, meeting demanding performance metrics, and ensuring smooth coordination across multiple departments such as logistics, inventory, and customer service. To prepare, develop strong problem-solving skills, the ability to adapt to change, and effective communication to collaborate with cross-functional teams. Gaining experience with process optimization and data-driven decision-making can also be beneficial.
What is the difference between Amazon Operations vs Amazon Warehouse Associate?
| Aspect | Amazon Operations | Amazon Warehouse Associate |
|---|---|---|
| Required Credentials | High school diploma or equivalent; some roles may require certifications in logistics or safety | High school diploma or equivalent |
| Work Environment | Office settings, management, logistics planning, and coordination | Warehouse floors, handling packages, packing, and shipping |
| Employer & Industry Usage | Corporate roles within Amazon focusing on operations management and strategy | Frontline roles in Amazon fulfillment centers |
Amazon Operations roles typically involve managing logistics, planning, and coordinating warehouse activities, often requiring some managerial or analytical skills. In contrast, Amazon Warehouse Associates focus on physical tasks like packing, sorting, and shipping packages on the warehouse floor. Both roles are essential to Amazon's supply chain but differ in responsibilities, work environment, and skill requirements.
What are popular job titles related to Amazon Operations jobs in Tulsa, OK? For Amazon Operations jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Amazon Operations jobs in Tulsa, OK look for? The top searched job categories for Amazon Operations jobs in Tulsa, OK are:
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
apply for this job