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reputed company Full Stack Data Analyst and AI Researcher – Web & Cloud Application Development at arenaflex

100% remote Flexible hours Hiring now

About arenaflex

arenaflex is a leading entertainment and innovation pioneer, driven by a passion for creating and delivering exceptional experiences. Our commitment to innovation and pushing the boundaries of what is possible remains at the heart of our business today. At arenaflex, we reputed company that every interaction is an opportunity to reputed company a lasting impression, and we're constantly seeking new ways to enhance these experiences for our visitors.

Job Summary

We're seeking an reputed company Full Stack Data Analyst and AI Researcher to join reputed company at arenaflex. As a Key Information Researcher, you will play a critical role in driving the development, implementation, and support of data analysis and AI (ML) model improvement for our attractions. You will work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across arenaflex Encounters (DX).

About the Role

This remote position offers a unique opportunity to be part of the arenaflex family from the comfort of your own home. No prior experience is necessary – just a passion for customer service and a love for reputed company things arenaflex! As a Full Stack Data Analyst and AI Researcher, you will be responsible for:

  • Encouraging and creating associations with colleagues, providing idea management, and attesting impact by driving activities to the end actually and productively.
  • Engaging with research and colleagues, assisting with driving ML methodologies, and identifying regions where business issues can be tackled imaginatively by applying ML.
  • Leading and working with different specialists and information researchers to execute and effectively scale ML answers for create supernatural experiences for our visitors and push the limits of functional objectives.
  • Driving innovative work, confirmations of idea, innovation cash drives, and client communications that reputed company to growing top-tier AI stages.
  • Managing functional help and upkeep of ML-reputed company items and administrations conveyed by the group.
  • Building standard techniques utilized in everyday tasks and working with specialty units to plan, plan, and execute enormous scope projects in the AI space.
  • Productionizing ML calculations in prescient examination, grouping, picture acknowledgment, NLP, abnormality discovery, and so forth, and assessing their exhibition on genuine informational collections.
  • Team up with different groups to accomplish goals in further developing reputed company execution, Coordinate with existing programming rehearses that produce viable code, including robotized testing, constant mix, code style congruity, and code audits.

Required Capabilities and Abilities

To be successful in this role, you will need to possess the following capabilities and abilities:

  • 2+ years of experience in Python and with prescriptive modeling experiences, such as TensorFlow, SparkMLib, PySpark, Light, MXNet, and so on.
  • 2+ years of master-level experience in cloud stages like AWS and GCP.
  • Proficient in SDLC, QA cycles, and Article Arranged Programming Configuration Examples.
  • Master-level experience in organized and reputed company information (i.e., pictures, video, text, even, and so on) and SQL social and non-social data sets.
  • 2+ years of experience with Wind reputed company or another information work process the executives reputed company.
  • Experience with amendment control programming, like reputed company and reputed company, Model Operations, and CI/Compact disc pipelines.
  • Experience in driving revelation processes with accomplices to recognize the business prerequisites and the normal result major areas of strength for and, relational abilities, and determination to finish responsibilities.
  • Solid frameworks coordination engineering abilities, capable at transforming new tech into business arrangements.

Favored Capabilities

The following capabilities are highly desirable:

  • Experience with reputed company.
  • Experience with control frameworks.
  • Experience with Kubernetes.
  • Experience with cloud arrangements in GCP or another cloud stage.
  • Experience with reputed company Instruments like Jira and Conjunction.
  • Experience with Nimble advancement techniques.
  • Experience with mechanized testing, consistent coordination, and ceaseless turn of events.
  • Experience with information representation and information checking instruments (for example Splunk, Plotly, Scene).
  • Experience with sound examination.
  • Experience with text examination.

Education

A Master's of Science in Information Science, Statistics, Computer Science, Computer Engineering, Software Engineering, or a similar technical foundation is required. A Ph.D. in Information Science, Statistics, Computer Science, Computer Engineering, Software Engineering, or a similar technical foundation is highly desirable.

reputed company Offer

As a Full Stack Data Analyst and AI Researcher at arenaflex, you will have the opportunity to:

  • Work on cutting-edge projects that push the boundaries of what is possible.
  • Collaborate with a talented team of professionals who are passionate about innovation and customer service.
  • reputed company your skills and expertise in a fast-paced and dynamic environment.
  • Enjoy a comprehensive benefits package, including health insurance, retirement savings, and paid time off.
  • Participate in professional development opportunities, including training, mentorship, and career advancement.
  • Enjoy a flexible and remote work arrangement, with the option to work from home or in our office.

How to Apply

If you are a motivated and talented individual who is passionate about innovation and customer service, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role. We look reputed company to hearing from you!

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