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

At arenaflex, we're a leading innovator in the entertainment and technology industry, driven by a passion for creating extraordinary experiences for our visitors. Our commitment to innovation and excellence is rooted in the legacy of Walt Disney, who embodied the spirit of continuous improvement and pushing the boundaries of what's possible. As a Key Information Researcher in our team, you'll play a crucial role in shaping the future of our attractions and experiences by developing and implementing AI and machine learning models that drive exceptional visitor encounters.

Join the arenaflex Family and Shape the Future of Entertainment

We're seeking an experienced Full Stack Data Entry Specialist to join our team of innovators and technologists. This remote position offers an exciting opportunity to be part of the arenaflex family from the comfort of your own home, with no prior experience necessary. What we're looking for is a passion for customer service, a love for all things Disney, and a drive to make a meaningful impact.

Responsibilities

As a Full Stack Data Entry Specialist, you'll be responsible for:

• Collaborating with colleagues and stakeholders to drive the development and implementation of AI and machine learning models that enhance visitor experiences
• Working with cross-functional teams to design, develop, and deploy machine learning solutions that meet business objectives and drive innovation
• Managing the functional support and maintenance of AI-related products and services, ensuring seamless integration and scalability
• Developing and implementing standard techniques and workflows for everyday tasks, and collaborating with specialty units to plan, design, and execute large-scale projects in the AI space
• Productionizing machine learning models in predictive analytics, clustering, image recognition, NLP, anomaly detection, and other areas, and assessing their performance on real-world datasets
• Collaborating with other teams to achieve goals in improving system performance, and coordinating with existing software practices that produce efficient code, including automated testing, continuous integration, code style consistency, and code reviews

Required Capabilities and Abilities

To succeed in this role, you'll need:

• 2+ years of experience in Python and predictive modeling, with experience in frameworks such as TensorFlow, SparkMLib, PySpark, Light, MXNet, and others
• 2+ years of experience in cloud platforms like AWS and GCP
• Proficiency in SDLC, QA cycles, and Agile programming methodologies
• Master-level experience in structured and unstructured data (e.g., images, video, text, audio, etc.) and SQL social and non-social datasets
• 2+ years of experience with data workflow management tools like Windstream or another similar 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, and a strong ability to communicate complex ideas and drive results

Preferred Capabilities

While not required, experience in the following areas is highly desirable:

• Docker
• Control frameworks
• Kubernetes
• Cloud platforms in GCP or another cloud stage
• Atlassian tools like Jira and Confluence
• Agile development methodologies
• Automated testing, continuous integration, and continuous deployment
• Data representation and data validation tools (e.g., Splunk, Plotly, Tableau)
• Audio analysis
• Text analysis

Education

A Bachelor's or Master's degree in Computer Science, Information Science, Statistics, Mathematics, or a related technical field is required. A Ph.D. in a related field is highly desirable.

What We Offer

At arenaflex, we're committed to providing a supportive and inclusive work environment that fosters growth, innovation, and collaboration. As a Full Stack Data Entry Specialist, you'll have access to:

• A competitive salary and benefits package
• Opportunities for professional growth and development
• A dynamic and supportive team environment
• Flexible remote work arrangements
• Access to cutting-edge technology and tools
• A comprehensive training program to help you succeed in your role

How to Apply

If you're a motivated and innovative professional with a passion for AI and machine learning, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience, skills, and qualifications for the role. Apply for this job