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Experienced Full Stack Data Entry Specialist – Virtual Remote Opportunity at arenaflex

Remote role Full-time Open position

At arenaflex, we're on a mission to revolutionize the way we interact with technology, and we're looking for talented individuals to join our team. As a Full Stack Data Entry Specialist, you'll play a critical role in driving the coordination and democratization of new technologies that acquire speed and productivity in information analysis methods. If you're passionate about AI, NLP, and data-driven decision making, we want to hear from you.

About arenaflex

arenaflex is a leading healthcare and retail company with a rich history dating back to 1901. Our mission is to make more joyful lives through better health, and we're committed to providing an exceptional omnichannel experience to our customers. With over 9,000 brick and mortar stores across America, Puerto Rico, and the U.S. Virgin Islands, we're proud to be a local health objective serving nearly 10 million customers every day.

Job Highlights

* Immediate openings available: Join our team today and start making a difference in the lives of our customers.

  • Competitive salary: We offer a competitive salary, plus benefits and perks that will make you feel valued and appreciated.
  • Remote work opportunity: Work from the comfort of your own home and enjoy a better work-life balance.
  • Opportunities for growth and development: We're committed to helping you grow and develop your skills, so you can achieve your career goals.

Responsibilities

As a Full Stack Data Entry Specialist, you'll be responsible for:

Utilizing our internal resources

to create and record ideal cycles, working with data, and figuring out the requirements of end-users.

Driving the coordination and democratization

of new technologies that acquire speed and productivity in information analysis methods.

Enhancing models

for sending on cloud frameworks and embedded equipment.

Planning and developing AI models

using the latest advancements.

Working on NLP and AI engineering design, testing, and improving existing AI models

.

Maintaining model variants and metadata

.

Fostering creation-level programming

for AI foundation (data pipelines, testing systems, model organization, MLOPS).

Upgrading models

for execution and versatility (for better latency and throughput).

Observing model execution, maintenance, and investigation

.

Designing and confirming ideas

for testing the latest AI and NLP, voice handling advancements.

Performing A/B testing

of candidate models.

Working with programmers and data scientists

to integrate ML models into production frameworks on the cloud and in embedded systems.

Staying up-to-date

with the latest advancements in AI and related fields.

Upholding all undertakings

in the Focus of Excellence and contributing to high-impact issues.

Executing effective training methodologies

and incorporating models into production frameworks.

Essential Qualifications

*

Bachelor's degree

in Computer Science, Linguistics, or related field.

At least 2 years of experience

in discourse recognition, or equivalent experience in related fields.

Mastery in programming languages

such as SQL, Python, deep learning, PyTorch, and TensorFlow.

Experience in automated organization

of trained AI models on cloud platforms.

  • Experience in discourse handling, NLP, voice-to-text handling, speaker ID, discourse sentiment handling, and interpretation.
  • At least 1 year of direct leadership, indirect leadership, or potentially cross-functional team leadership.

Ability to travel up to 10% of the time

for business purposes (within state and out of state).

Preferred Qualifications

*

Master's degree, Graduate degree, or Ph.D.

in Computer Science, Linguistics, or related field.

Experience in research, representation, and understanding of model results

.

  • Experience with subtlety discourse recognition software, discourse fusion software, and voice biometrics software.

Working with cloud platforms

such as Azure and Google Cloud/Google Cloud Platform. MLOps-related experience for production workflows.

Familiarity or near-conversant in Spanish

.

Experience in retail or potentially the healthcare industry

.

Group management

.

How to Apply

If you're passionate about AI, NLP, and data-driven decision making, and you're looking for a challenging and rewarding career opportunity, we want to hear from you. Please submit your application, including your resume, cover letter, and any relevant documents, through our website. We can't wait to hear from you!

Apply Now

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We Encourage You to Apply!

Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team. Apply now and take the first step towards a rewarding career at arenaflex! Apply for this job

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