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

At arenaflex, we're a dynamic and innovative company that's passionate about creating exceptional experiences for our visitors. Our commitment to pushing the boundaries of what's possible is rooted in the values of our founder, Walt, who believed in the power of continuous growth and innovation. As a Key Information Researcher in our team, you'll play a critical role in shaping the future of our attractions and delivering unparalleled visitor experiences.

About arenaflex

arenaflex is a leading entertainment and innovation company that's dedicated to making and delivering extraordinary experiences for our visitors. We're constantly seeking new ways to improve these experiences, and we're looking for talented individuals like you to join our team. As a remote employee, you'll have the opportunity to be part of the arenaflex family from the comfort of your own home.

Job Summary

We're seeking an experienced Full Stack Data Entry Specialist to join our team of AI and Machine Learning (ML) model developers. As a Key Information Researcher, you'll be responsible for directing the creation, implementation, and support of data analysis and ML model development for our attractions. You'll work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across arenaflex's attractions.

Key Responsibilities

* Collaborate with colleagues and stakeholders to drive ML methodologies and identify areas where business challenges can be addressed creatively using ML.

• Lead and work with cross-functional teams of experts and data scientists to execute and scale ML solutions that deliver magical experiences for our visitors and push the boundaries of functional objectives.
• Drive innovation, idea validation, innovation funding, and client communication that leads to the development of top-tier AI platforms.
• 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 predictive modeling, including 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 (i.e., 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 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.

Preferred 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 development.
• Experience with data visualization and data validation tools (e.g., Splunk, Plotly, Tableau).
• Experience with audio analysis.
• Experience with text analysis.

Education

* Bachelor's degree in Computer Science, Information Science, Mathematics, Statistics, Software Engineering, or a related technical field.

• Preferred: Master's degree in Computer Science, Information Science, Mathematics, Statistics, Software Engineering, or a related technical field.

What We Offer

* Competitive salary and benefits package.

• Opportunity to work with a dynamic and innovative team.
• Flexible remote work arrangement.
• Professional development and growth opportunities.
• Access to cutting-edge technology and tools.
• Collaborative and supportive work environment.

How to Apply

If you're passionate about AI and ML, and you're looking for a challenging and rewarding role, we encourage you to apply. Please submit your resume and a cover letter explaining why you're the ideal candidate for this position. We can't wait to hear from you! Apply Now! Apply for this job