Experienced Full Stack Data Entry Specialist – AI and Machine Learning Development
At arenaflex, we're on a mission to revolutionize the way we experience entertainment and innovation. Our commitment to pushing the boundaries of what's possible is rooted in the values of our founder, Walt Disney, who believed in the power of imagination and creativity. As a Key Information Researcher at arenaflex, you'll play a critical role in shaping the future of our attractions and experiences, working closely with our internal partners to deliver exceptional visitor encounters through intelligent and data-driven systems.
Job Summary
We're seeking an experienced Full Stack Data Entry Specialist to join our team of innovators and problem-solvers. As a key member of our AI and Machine Learning (ML) development team, you'll be responsible for driving the creation, deployment, and maintenance of ML models that power our attractions. With a passion for customer service and a love for all things Disney, you'll work remotely from the comfort of your own home, collaborating with our team of experts to deliver world-class experiences for our visitors.
Key Responsibilities
As a Full Stack Data Entry Specialist, you'll be accountable for:
- Driving Innovation: Collaborate with our research and development team to identify areas where business challenges can be addressed through the application of ML.
- Leading ML Methodologies: Work with our team of data scientists and researchers to develop and deploy ML solutions that create magical experiences for our visitors and push the boundaries of functional objectives.
- Executing and Scaling: Lead and work with cross-functional teams to execute and scale ML solutions, ensuring seamless integration with our existing systems and infrastructure.
- Innovative Work: Drive innovation, ideation, and proof-of-concepts that lead to the development of top-tier AI stages.
- Functional Support: Manage the functional support and maintenance of ML-related products and services delivered by the team.
- Standardization: Develop standard techniques used in everyday tasks and work with specialty units to plan, design, and execute large-scale projects in the AI space.
- Productionization: Productionize ML models in predictive analytics, clustering, image recognition, NLP, anomaly detection, and more, and assess their performance on real-world datasets.
- Collaboration: Work with cross-functional 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
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 more.
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, etc.) and SQL social and non-social datasets.
2+ years of experience
with Windstream or another data workflow management tool.
Experience
with version control systems like GitHub and GitLab, Model Operations, and CI/CD pipelines.
Experience
in driving discovery processes with partners to identify business requirements and desired outcomes, with strong relational skills and a commitment to delivering results.
Preferred Capabilities
While not required, experience in the following areas is highly desirable:
Docker
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Control frameworks
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Kubernetes
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Cloud platforms in GCP or another cloud stage
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Atlassian tools like Jira and Confluence
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Agile development methodologies
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Automated testing, continuous integration, and continuous deployment
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Data visualization and data validation tools (e.g., Splunk, Plotly, Tableau)
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Audio analysis
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Text analysis
Education
A Bachelor's or Master's degree in Computer Science, Information Science, Mathematics, Statistics, Software Engineering, or a related technical field is required. A Ph.D. in a related field is highly desirable.
What We Offer
As a Full Stack Data Entry Specialist at arenaflex, you'll enjoy:
Competitive compensation and benefits package
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Opportunities for career growth and professional development
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Collaborative and dynamic work environment
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Flexible remote work arrangement
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Access to cutting-edge technology and tools
* Opportunities to work on high-impact projects and contribute to the development of innovative solutions
How to Apply
If you're passionate about innovation, customer service, and all things Disney, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. Apply for this job