Experienced Data Entry and Customer Support Specialist – Remote Work Opportunity with arenaflex

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. As a member of our team, you will be part of a dynamic and forward-thinking organization that values creativity, collaboration, and customer satisfaction. We are dedicated to making a positive impact on the lives of our visitors and are constantly seeking new ways to improve and enhance their experiences. Job Overview We are seeking a highly motivated and enthusiastic Data Entry and Customer Support Specialist to join our team. As a Key Information Researcher, you will play a crucial role in supporting the creation, implementation, and maintenance of data analysis and AI (ML) models for our attractions. 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 – just a passion for customer service and a love for all things arenaflex! Key Responsibilities Develop and maintain associations with colleagues, providing idea management and attesting 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 issues can be solved creatively by applying ML Lead and collaborate with different specialists and data researchers to implement and successfully scale ML solutions for creating supernatural experiences for our visitors and pushing 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 utilized in everyday operations and work with specialty units to plan, design, 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: 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 Object-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 Workflow or another data workflow management tool Experience with version control software, such as GitHub and GitLab, Model Operations, and CI/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 desirable: 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 methodologies Experience with automated testing, continuous integration, and continuous development Experience with data visualization and data monitoring tools (e.g., Splunk, Plotly, Tableau) Experience with audio analysis Experience with text analysis Education A Master's degree in Data Science, Statistics, Computer Science, Computer Engineering, or a similar technical background is required. A Ph.D. in Data Science, Statistics, Computer Science, Computer Engineering, 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 member of our team, you will have access to a range of training and development opportunities, including workshops, conferences, and online courses. You will also have the chance to work with a talented and experienced team, learning from their expertise and sharing your own knowledge and skills. Work Environment and Company Culture arenaflex is a dynamic and innovative company that values creativity, collaboration, and customer satisfaction. Our company culture is built on a foundation of respect, inclusivity, and open communication. We believe in fostering a positive and supportive work environment that encourages our employees to thrive and grow. As a remote worker, you will be part of a virtual team that is connected by a shared passion for innovation and excellence. Compensation, Perks, and Benefits arenaflex offers a competitive compensation package, including a salary, benefits, and perks. Our benefits package includes health insurance, retirement savings, and paid time off. We also offer a range of perks, including access to exclusive events, discounts on arenaflex products and services, and opportunities for professional development and growth. Conclusion If you are a motivated and enthusiastic individual with a passion for customer service and a love for all things arenaflex, we encourage you to apply for this exciting opportunity. As a Data Entry and Customer Support Specialist, you will be part of a dynamic and innovative team that is dedicated to creating and delivering exceptional experiences. Don't miss out on this chance to join the arenaflex family and be part of a company that is shaping the future of entertainment and innovation. Apply now and take the first step towards an exciting and rewarding career with arenaflex! Apply for this job