Job Description
Introduction to arenaflex arenaflex is a pioneering leader in the entertainment and innovation industry, driven by a passion for creating and delivering exceptional experiences. Our commitment to innovation and excellence is inspired by the vision of our founder, who believed in continuously pushing the boundaries of what is possible. At arenaflex, we strive to make a lasting impact on the lives of our visitors by providing them with unique and memorable experiences. We are now seeking a talented and enthusiastic Data Entry and Customer Support Specialist to and contribute to our mission of delivering world-class experiences.
Job Overview In this exciting remote role, you will have the opportunity to work from the comfort of your own home and be part of the arenaflex family. As a Data Entry and Customer Support Specialist, you will play a key role in supporting the creation, implementation, and maintenance of data analysis and AI (ML) models for our attractions. You will work closely with internal partners to deliver elite visitor experiences with interactive and data-driven systems across arenaflex Encounters (DX). This is an excellent opportunity for individuals who are passionate about customer service, data entry, and innovation, and who are looking to join a dynamic and forward-thinking team.
Key Responsibilities Develop and maintain associations with colleagues, provide idea management, and demonstrate influence by driving activities to the end efficiently and effectively. Engage with research and colleagues, assist with driving ML strategies, and identify areas where business problems can be solved creatively by applying ML. Lead and collaborate with different specialists and data researchers to implement and successfully scale ML solutions to create supernatural experiences for our visitors and push the limits of functional objectives.
Drive innovation, proof of concepts, technology cash drives, and customer interactions that lead to growing top-tier AI platforms. Manage functional support and maintenance of ML-related products and services delivered by the group. Build standard techniques used in daily operations and work with specialty units to design, plan, and execute large-scale projects in the AI space. Productionize ML algorithms in predictive analysis, classification, image recognition, NLP, anomaly detection, and more, and evaluate their performance on real-world data sets.
Collaborate with different teams to achieve goals in improving system performance and coordinate with existing software practices that generate effective code, including automated testing, continuous integration, code style consistency, and code reviews. Essential Qualifications and Abilities To be successful in this role, you will need to have: 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.
Proficiency in SDLC, QA cycles, and Article-Oriented Programming Design Patterns. Experience with structured and unstructured data (i.e., images, video, text, audio, etc.) and SQL relational and non-relational databases. 2+ years of experience with Wind stream or another data workflow management tool. Experience with version control software, such as GitHub and GitLab, Model Operations, and bolthires/CD pipelines. Experience in driving discovery processes with partners to identify business requirements and the expected outcome, strong communication skills, and determination to complete tasks.
Solid systems integration architecture skills, capable of transforming new tech into business solutions. Preferred Qualifications While not essential, the following qualifications are preferred: Experience with Docker. Experience with control systems. Experience with Kubernetes. Experience with cloud solutions 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 monitoring tools (e.g., Splunk, Plotly, Tableau). Experience with sound analysis. Experience with text analysis. Education A Master's degree in Data Science, Statistics, Programming, Computer Engineering, Computer Science, or a similar technical background is required. A Ph.D. in Data Science, Statistics, Programming, Computer Engineering, Computer Science, or a similar technical background is preferred. Career Growth Opportunities and Learning Benefits At arenaflex, we are committed to the growth and development of our employees.
As a Data Entry and Customer Support Specialist, you will have access to a range of training and development opportunities, including:
Professional development programs to enhance your skills and knowledge. Opportunities to work on exciting and innovative projects. Collaboration with experienced professionals in the field. Access to the latest technologies and tools. A dynamic and supportive work environment. Work Environment and Company Culture At arenaflex, we pride ourselves on our dynamic and supportive work environment.
Our company culture is built on a foundation of innovation, excellence, and teamwork. We believe in fostering a culture of creativity, inclusivity, and respect, where everyone feels valued and empowered to contribute their best work. Compensation, Perks, and Benefits As a Data Entry and Customer Support Specialist at arenaflex, you can expect a competitive salary and a range of perks and benefits, including: Flexible working hours and remote work options. Comprehensive health and wellness programs. Opportunities for professional development and growth.
Access to exclusive employee events and experiences. A dynamic and supportive work environment. Conclusion If you are a motivated and enthusiastic individual who is passionate about data entry, customer support, and innovation, we encourage you to apply for this exciting opportunity to join the arenaflex team. As a Data Entry and Customer Support Specialist, you will play a key role in supporting the creation and delivery of exceptional experiences for our visitors. Don't miss out on this chance to be part of a dynamic and forward-thinking team and to contribute to the success of arenaflex.
and take the first step towards an exciting and rewarding career with arenaflex!