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 ...
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 ...
Machine Learning Engineer (AWS)
Tulsa, OK · On-site +1
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 ...
Machine Learning Engineer (AWS)
Tulsa, OK · On-site +1
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 ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Lawton, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Lawton, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Norman, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Norman, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Broken Arrow, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Broken Arrow, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Edmond, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Edmond, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Oklahoma City, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Oklahoma City, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Tulsa, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Tulsa, OK · Remote
$139.98K - $168.19K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
Machine Learning Engineer Opt information
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?
To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.
What are some common challenges Machine Learning Engineers face when deploying models to production environments?
Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are Machine Learning Engineers?
Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.
What is the difference between Machine Learning Engineer Opt vs Data Scientist?
| Aspect | Machine Learning Engineer Opt | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related fields; certifications in ML tools | Bachelor's or Master's in CS, Statistics, or related fields; data analysis certifications |
| Work Environment | Develops, tests, and deploys ML models in production systems | Analyzes data, builds models, and provides insights for decision-making |
| Employer & Industry Usage | Tech companies, AI startups, e-commerce, finance | Research institutions, tech firms, consulting, finance |
| Common Search & Comparison | Often compared for technical skills and deployment focus | Compared for data analysis and business insights |
Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.
What are popular job titles related to Machine Learning Engineer Opt jobs in Oklahoma? For Machine Learning Engineer Opt jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Oklahoma look for? The top searched job categories for Machine Learning Engineer Opt jobs in Oklahoma are:
What cities in Oklahoma are hiring for Machine Learning Engineer Opt jobs? Cities in Oklahoma with the most Machine Learning Engineer Opt job openings:
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.
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