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 creatives who are passionate about pushing the boundaries of what's possible. Our mission is to create and deliver extraordinary experiences that leave a lasting impact on our visitors. As a Key Information Researcher in our team, you'll play a crucial role in shaping the future of arenaflex's attractions and experiences.
Join the arenaflex Family
We're looking for a talented and motivated individual to join our team as a Full Stack Data Entry Specialist. This is an exciting opportunity to be part of a dynamic and innovative team that's shaping the future of entertainment and innovation. As a remote position, you'll have the flexibility to work from the comfort of your own home, while still being part of a collaborative and supportive team.
About the Role
As a Full Stack Data Entry Specialist, you'll be responsible for directing the creation, implementation, and maintenance of data analysis and AI (ML) models for our attractions. You'll work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across Disney Encounters (DX). You'll report to Attractions Functional Innovation and be part of a team that's passionate about creating magical experiences for our visitors.
Key Responsibilities
* Collaborate with colleagues and stakeholders to drive ML methodologies and identify areas where business issues can be addressed creatively by applying ML.
- Lead and work with cross-functional teams of experts and data scientists to execute and scale ML solutions that create extraordinary experiences for our visitors and push the limits of functional objectives.
- Drive innovation, idea validation, innovation funding, and client communications that lead to growing top-tier AI stages.
- Manage functional support and maintenance of ML-related products and services delivered by the team.
- Develop 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 analysis, 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 and coordinate with existing software practices that produce efficient 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, and more.
- 2+ years of experience in cloud platforms like AWS and GCP.
- Proficient in SDLC, QA cycles, and Agile Programming Paradigms.
- Master-level experience in structured and unstructured data (i.e., images, video, text, audio, and more) and SQL social and non-social datasets.
- 2+ years of experience with Windstream 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 expected outcomes, relational skills, and determination to complete responsibilities.
- Strong systems integration engineering skills, capable of transforming new tech into business solutions.
Preferred Capabilities
* Experience with Docker.
- Experience with control systems.
- 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 development.
- Experience with data representation and data validation tools (e.g., Splunk, Plotly, Tableau).
- Experience with audio analysis.
- Experience with text analysis.
Education
* Master's degree in Computer Science, Information Science, Mathematics, Computer Engineering, Software Engineering, or a related technical field.
- Preferred: Ph.D. in Computer Science, Information Science, Mathematics, Computer Engineering, Software Engineering, or a related technical field.
What We Offer
* Competitive salary and benefits package.
- Opportunity to work on cutting-edge projects and technologies.
- Collaborative and supportive team environment.
- Flexible remote work arrangement.
- Professional development and growth opportunities.
- Access to arenaflex's innovative and dynamic work environment.
How to Apply
If you're passionate about innovation, creativity, and making a difference, we want to hear from you! Apply now to join the arenaflex family as a Full Stack Data Entry Specialist. Apply for this job