Experienced Full Stack Data Entry Specialist – AI and Machine Learning Development

At arenaflex, we're not just a company – we're a family of innovators, dreamers, and problem-solvers who are passionate about creating extraordinary experiences for our visitors. As a Key Information Researcher in our team, you'll play a crucial role in shaping the future of our attractions and pushing the boundaries of what's possible. If you're a curious and creative individual with a passion for customer service and a love for all things Disney, we want to hear from you!

About arenaflex

arenaflex is an elite entertainment and innovation pioneer that's been pushing the limits of what's possible for over a century. Our founder, Walt, was a visionary who believed in the power of imagination and innovation to create unforgettable experiences. Today, we're still driven by that same spirit of curiosity and creativity, and we're always looking for new ways to improve and enhance our attractions.

Job Summary

We're seeking an experienced Full Stack Data Entry Specialist to join our team and help us develop and implement AI and machine learning models for our attractions. As a Key Information Researcher, you'll work closely with our internal partners to create and deliver exceptional visitor experiences through intelligent and data-driven systems. You'll be responsible for leading and collaborating with cross-functional teams to execute and scale ML solutions, driving innovation and growth through data-driven insights, and managing the functional support and maintenance of ML-related products and services.

Key Responsibilities

* Collaborate with research and development teams to drive ML methodologies and identify areas where business challenges can be addressed creatively through ML

• Lead and work with other specialists and data scientists to execute and scale ML solutions to create magical experiences for our visitors and push the limits of functional objectives
• Drive innovation, idea validation, innovation funding, and customer communications that lead to growing top-tier AI platforms
• Manage functional support and maintenance of ML-related products and services
• Build standard techniques used in everyday tasks and work with specialty units to plan, design, and execute large-scale projects in the AI space
• Productionize ML models in predictive analytics, clustering, image recognition, NLP, anomaly detection, and more, and assess their performance on real-world datasets
• Collaborate with other teams to achieve goals in improving system performance, coordinate with existing software practices that produce effective code, including automated testing, continuous integration, code style consistency, and code reviews

Required Capabilities and Abilities

* 2 years of experience in Python and with predictive modeling experiences, such as TensorFlow, SparkMLib, PySpark, Light, MXNet, etc.

• 2 years of master-level experience in cloud platforms like AWS and GCP
• Proficient in SDLC, QA cycles, and Article Arranged Programming Configuration Examples
• Master-level experience in structured and unstructured data (i.e., images, video, text, etc.) and SQL social and non-social datasets
• 2 years of experience with Wind stream or another data workflow management tool
• Experience with version control software, like GitHub and GitLab, Model Operations, and CI/CD pipelines
• Experience in driving discovery processes with partners to identify business requirements and desired outcomes, relational skills, and determination to complete responsibilities
• Strong systems integration engineering skills, capable of transforming new tech into business solutions

Favored Capabilities

* Experience with Docker

• Experience with control frameworks
• Experience with Kubernetes
• Experience with cloud platforms in GCP or another cloud platform
• Experience with Atlassian tools like Jira and Confluence
• Experience with Agile development techniques
• Experience with automated testing, continuous integration, and continuous deployment
• Experience with data representation and data validation tools (e.g., Splunk, Plotly, Tableau)
• Experience with audio analysis
• Experience with text analysis

Education

* Bachelor's of Science in Computer Science, Information Science, Statistics, Computer Engineering, Software Engineering, or similar technical foundation

• Preferred: Ph.D. in Computer Science, Information Science, Statistics, Computer Engineering, Software Engineering, or similar technical foundation

What We Offer

* A dynamic and supportive work environment that encourages creativity and innovation

• Opportunities for career growth and professional development
• A comprehensive benefits package, including health insurance, retirement savings, and paid time off
• A competitive salary and bonus structure
• The chance to work on exciting and challenging projects that make a real impact on our visitors' experiences
• A collaborative and inclusive team culture that values diversity and inclusion

How to Apply

If you're a motivated and talented individual who is passionate about AI and machine learning, we want to hear from you! Please submit your application, including your resume and a cover letter, through our website. We can't wait to hear your story and learn more about your qualifications! Apply for this job