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Python Web Developer Intern Jobs in Tulsa, OK (NOW HIRING)

CCT

Machine Learning Engineer (AWS)

Tulsa, OK

... Web Services. You'll own the full lifecycle in a real-world, high-stakes environment - from ... Strong Python skills and familiarity with common ML frameworks (scikit-learn, PyTorch, XGBoost, or ...

CCT

Machine Learning Engineer (AWS)

Tulsa, OK · On-site +1

... Web Services. You'll own the full lifecycle in a real-world, high-stakes environment - from ... Strong Python skills and familiarity with common ML frameworks (scikit-learn, PyTorch, XGBoost, or ...

CCT

Machine Learning Engineer (AWS)

Tulsa, OK · Remote

... Web Services. You'll own the full lifecycle in a real-world, high-stakes environment -- from ... Strong Python skills and familiarity with common ML frameworks (scikit-learn, PyTorch, XGBoost, or ...

Pwc

Google Cloud Architect - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

... Web Design, Webmaster and Web Management, Engineering and Business preferred Preferred ... Python design and development - Skilled in Microservices REST API and Event Driven Design ...

Varsity Tutors

Coding Tutor

Tulsa, OK · Remote

$40/hr

Deep knowledge of programming fundamentals including variables, loops, conditionals, functions ... Emphasizes hands-on project creation and connects coding to creative expression, game building, web ...

MIRATECH Corporation

AI and Automation Lead

Tulsa, OK · On-site

... Python, JavaScript/TypeScript, or similar languages * Experience working with APIs, web services ... Experience mentoring developers and leading technical standards across projects or teams * Strong ...

MIRATECH Corporation

AI and Automation Lead

Tulsa, OK · On-site

... Python, JavaScript/TypeScript, or similar languages * Experience working with APIs, web services ... Experience mentoring developers and leading technical standards across projects or teams * Strong ...

MIRATECH Corporation

AI and Automation Lead

Tulsa, OK · On-site

... Python, JavaScript/TypeScript, or similar languages * Experience working with APIs, web services ... Experience mentoring developers and leading technical standards across projects or teams * Strong ...

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How much do python web developer intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for python web developer intern in Tulsa, OK is $52.87, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $57.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Web Developer Intern, and why are they important?

To thrive as a Python Web Developer Intern, a strong grasp of Python programming, familiarity with web frameworks like Django or Flask, and basic understanding of HTML, CSS, and JavaScript are essential, typically backed by coursework or personal projects. Experience with version control systems such as Git and exposure to databases like MySQL or PostgreSQL are commonly required. Problem-solving skills, eagerness to learn, and effective communication set top candidates apart in collaborative environments. These skills enable interns to contribute meaningfully to web development projects and adapt quickly to team workflows and new technologies.

What are some common challenges Python Web Developer Interns face when working on collaborative projects?

As a Python Web Developer Intern, you may encounter challenges such as merging code changes in a shared repository, understanding legacy codebases, and aligning with the coding standards set by the team. Communication is key, as you'll often work closely with front-end developers, designers, and backend engineers to deliver cohesive features. Time management and adapting to agile development processes can also be a learning curve, but these experiences are valuable for developing strong teamwork and problem-solving skills.

What does a Python Web Developer Intern do?

A Python Web Developer Intern assists in building and maintaining web applications using Python frameworks such as Django or Flask. Interns typically work on writing code, debugging issues, and collaborating with team members to implement new features or improve existing ones. They may also help with database management, testing, and documentation. This role is designed to provide hands-on experience for those looking to start a career in web development.

What is the difference between Python Web Developer Intern vs Python Web Developer?

AspectPython Web Developer InternPython Web Developer
Required CredentialsTypically pursuing or recent graduate in CS or related fieldBachelor's degree in CS or related, with some experience
Work EnvironmentInternship, often in tech companies or startupsFull-time professional role in tech or software companies
Employer & Industry UsageInternship programs, entry-level positions in tech industryEstablished companies, software development teams
Common Search & Comparison IntentUnderstanding entry-level roles and growth opportunitiesCareer progression and skill requirements

The main difference between a Python Web Developer Intern and a Python Web Developer is experience level and responsibility. Interns are usually students or recent graduates gaining hands-on experience, while developers are full-time professionals with more responsibilities. Internships serve as a stepping stone to full-time roles, which require more advanced skills and experience.

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Machine Learning Engineer (AWS)

Machine Learning Engineer (AWS)

CCT

Tulsa, OK

Other

Posted 28 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.
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