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AI Implementation & Training Specialist

Sypheris

United States

Remote

USD 80,000 - 110,000

Full time

8 days ago

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Job summary

Sypheris is seeking an AI Implementation & Training Specialist to join their remote team. This role involves integrating AI technologies into their platform, ensuring effective adoption, and driving efficiency in serving students. Candidates should have a degree in a relevant field and experience in AI/ML.

Benefits

Opportunity for professional growth
Supportive US-based team
Collaborative work environment

Qualifications

  • 3+ years of professional experience in AI/ML model deployment.
  • Proficiency in programming languages commonly used in AI.
  • Strong understanding of data pipelines and model lifecycle management.

Responsibilities

  • Collaborate with teams to identify opportunities for AI integration.
  • Design, develop, and deploy AI models and solutions.
  • Conduct workshops for internal stakeholders on AI tools.

Skills

Python
R
Machine Learning
Data Science
Natural Language Processing
Data Pipelines
MLOps
Communication

Education

Bachelor's or Master's degree in Computer Science
Degree in Artificial Intelligence
Degree in Machine Learning
Degree in Data Science

Tools

TensorFlow
PyTorch
scikit-learn
AWS
Azure
Google Cloud

Job description

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Sypheris is Hiring: AI Implementation & Training Specialist (Remote - US)

Are you a passionate AI enthusiast with a knack for translating complex models into practical, user-friendly solutions? Do you thrive on empowering teams through technology and optimizing processes with intelligent systems? Sypheris.com, a leading platform dedicated to simplifying the student loan journey, is seeking a talented AI Implementation & Training Specialist to join our growing remote team in the United States.

In this crucial role, you will be at the forefront of integrating cutting-edge AI technologies into our platform and workflows. You will not only implement AI solutions but also ensure their effective adoption by internal teams, driving efficiency and enhancing our ability to serve students.

Responsibilities:

  • Collaborate with product, engineering, and data science teams to understand business needs and identify opportunities for AI integration.
  • Design, develop, and deploy AI models and solutions into production environments.
  • Implement AI tools and systems that enhance Sypheris's user experience and internal operations (e.g., natural language processing for support, intelligent data analysis).
  • Develop comprehensive training materials and conduct workshops for internal stakeholders to ensure effective utilization of AI tools.
  • Monitor the performance of AI models, troubleshoot issues, and iterate on solutions for continuous improvement.
  • Stay updated with the latest advancements in AI/ML technologies and propose innovative applications for Sypheris.com.
  • Ensure the ethical and responsible deployment of AI solutions, with a focus on data privacy and fairness.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
  • 3+ years of professional experience in AI/ML model deployment, integration, or implementation.
  • Proficiency in programming languages commonly used in AI (e.g., Python, R).
  • Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.
  • Strong understanding of data pipelines, MLOps, and model lifecycle management.
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences and conduct effective training.
  • Demonstrated ability to work independently and collaboratively in a remote team environment.
  • Experience in the FinTech or EdTech sectors is a plus, but not required.

What We Offer:

  • Opportunity to work on impactful AI projects that simplify financial processes for students.
  • A fully remote, full-time position (5-day workweek) within a supportive US-based team.
  • Collaborative and innovative work environment.
  • Opportunity for professional growth and skill development.

Location: Remote (United States) Employment Type: Full-time

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology

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