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

Work from home Full-time role Hiring

Join careerzynith, a leading entertainment and innovation pioneer, in shaping the future of immersive experiences! At careerzynith, we're passionate about creating extraordinary encounters for our visitors. As a Key Information Researcher in our team, you'll play a crucial role in driving the creation, implementation, and support of data analysis and AI (ML) model development for our attractions. You'll work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across careerzynith Encounters (DX).

About careerzynith

careerzynith is a dynamic and innovative company that embodies the spirit of Walt's enthusiasm for continuous growth and pushing the boundaries of what's possible. Our mission is to create and deliver extraordinary experiences, and we're always looking for new ways to improve these experiences for our visitors. As a member of our team, you'll be part of a collaborative and supportive environment that encourages creativity, innovation, and growth.

The Role

We're seeking an experienced Full Stack Data Entry Specialist to join our team. As a Key Information Researcher, you'll be responsible for:

  • Collaborating with colleagues and stakeholders to drive ML methodologies and identify areas where business issues can be addressed creatively by applying ML.
  • Leading and working with cross-functional teams to execute and scale ML solutions to create magical experiences for our visitors and push the boundaries of functional objectives.
  • Driving innovation, idea validation, innovation funding, and client communications that lead to growing top-tier AI platforms.
  • Managing functional support and maintenance of ML-related products and services delivered by the team.
  • Building standard techniques used in everyday tasks and working with specialty units to plan, design, and execute large-scale projects in the AI space.
  • Productionizing ML models in predictive analysis, clustering, image recognition, NLP, anomaly detection, and more, and assessing their performance on real-world datasets.
  • Collaborating with other teams to achieve goals in improving system performance and coordinating with existing software practices that produce efficient code, including automated testing, continuous integration, code style consistency, and code reviews.

Required Capabilities and Abilities

* 2+ years of experience in Python and predictive modeling, including TensorFlow, SparkMLib, PySpark, Light, MXNet, and more.

  • 2+ years of experience in cloud platforms like AWS and GCP.
  • Proficiency in SDLC, QA cycles, and Agile programming methodologies.
  • Master-level experience in structured and unstructured data (e.g., images, video, text, audio, and more) and SQL social and non-social datasets.
  • 2+ years of experience with workflow management tools like Windstream or another data workflow management instrument.
  • Experience with version control software like GitHub and GitLab, Model Operations, and CI/CD pipelines.
  • Experience in driving discovery processes with partners to identify business requirements and desired outcomes, and a strong ability to complete tasks.
  • Strong systems integration engineering skills, capable of transforming new tech into business solutions.

Preferred Capabilities

* Experience with Docker.

  • Experience with control frameworks.
  • Experience with Kubernetes.
  • Experience with cloud platforms 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 deployment.
  • Experience with data representation and data validation tools (e.g., Splunk, Plotly, Tableau).
  • Experience with audio analysis.
  • Experience with text analysis.

Education

* Bachelor's or Master's degree in Computer Science, Information Science, Statistics, Mathematics, Software Engineering, or a related technical field.

  • Ph.D. in Computer Science, Information Science, Statistics, Mathematics, Software Engineering, or a related technical field (desired).

Why Join careerzynith?

* Competitive salary and benefits package.

  • Opportunity to work on cutting-edge projects and technologies.
  • Collaborative and supportive work environment.
  • Professional growth and development opportunities.
  • Flexible, hybrid remote work arrangement.
  • Access to exclusive careerzynith events and experiences.

How to Apply

If you're passionate about data analysis, AI, and cloud application development, and you're looking for a challenging and rewarding role, 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 for this job

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