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Experienced Full Stack Data Entry Specialist – AI and Cloud Application Development

100% Remote Full-time Open now

At arenaflex, we're revolutionizing the way we approach innovation, and we're looking for talented individuals to join our team. As a leading organization in the industry, arenaflex is committed to pushing the boundaries of what's possible and creating a better future for all. We're excited to announce an exciting opportunity for a skilled Full Stack Data Entry Specialist to join our Cloud Innovations Application Stage (AP) group.

About arenaflex

arenaflex is a dynamic and forward-thinking organization that's passionate about making a positive impact. We believe that the right people, combined with the right technology and a culture of innovation, can achieve anything. Our team is comprised of highly skilled and dedicated professionals who are driven by a shared vision of excellence. We're proud to be a leader in our industry, and we're committed to continuing to push the boundaries of what's possible.

Job Summary

We're seeking a highly skilled Full Stack Data Entry Specialist to join our Cloud Innovations Application Stage (AP) group. As a key member of our team, you'll play a critical role in helping us develop and execute our AI strategy to take our engineer experience stage to the next level. You'll work closely with multi-disciplinary teams and apply advanced calculations to large-scale data to drive innovation and speed up application development within arenaflex.

Key Responsibilities

* 2+ years of overall experience in the software industry focused on ML

  • Profoundly skilled in quantitative programming languages, such as Python, R, SQL with distributed stores like S3, Flash, Vector Dataset
  • Experience with model arrangement for experimentation
  • Strong understanding and experience with advanced AI (ML) calculations, deep learning, statistics, and large language models
  • Strong understanding of transformer engineering, vector embeddings, and applying a model to solve different business problems
  • Ensuring data quality through analysis, modeling by handling missing values, anomalies, assessing model performance, approving results, and interpreting the results to provide actionable recommendations
  • Picking proper ML calculations, training models, and calibrating hyper-parameters to achieve the best predictive performance
  • Experience with training a model or use of a pre-trained model and retraining or calibrating to custom needs
  • Ability to present results of analyses in a clear and meaningful way to non-technical audiences
  • Ability to distill modern AI model proficiencies to edible data for non-technical crowds
  • Experience in applying ML methods in developer efficiency is a plus

Job Description

The Application Stage group provides frameworks, services, and developer tools to internal design teams in arenaflex to speed up their SDLC. We are working on a Generative AI-based developer experience stage for internal use and help our application development team. You will collaborate with AI engineers, Programmers, and other data scientists to deliver and deploy a start-to-finish AI-enabled solution for this stage.

Training and Experience

* BS in computer science or data science; Experts liked Apply Job!

What We Offer

* Competitive salary

  • Opportunity to work on cutting-edge AI and cloud application development projects
  • Collaborative and dynamic work environment
  • Professional growth and development opportunities
  • Comprehensive benefits package
  • Recognition and rewards for outstanding performance

How to Apply

If you're a motivated and talented individual who is passionate about AI and cloud application development, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you!

Apply Now

Don't miss this opportunity to make a significant impact. Apply now and take the first step towards a rewarding new role. Apply To This Job Apply for this job

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