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NZ Head Office
Level 16/191, Queen Street,
Auckland CBD, 1010

info@auxibot.com

Careers

Job Description:

Role Overview

As an AI Engineer / Trainer at Auxi AI, you’ll contribute to building advanced AI models and play a key role in educating teams on their use. By creating machine learning algorithms and developing training materials, you’ll help enhance AI adoption and ensure systems are both effective and user-friendly across the organization.

Driving AI Adoption & Empowering Teams

You’ll work closely with various teams to integrate AI technologies into business processes, enhancing decision-making and operational efficiency. By delivering impactful workshops and training programs, you will enable employees to better understand and utilize AI tools, ensuring smooth integration and continuous improvement of AI systems.

Growth & Development

At Auxi AI, you’ll be supported in your professional growth. You’ll stay at the forefront of AI innovations and continuously develop your skills while helping others in the organization expand their knowledge in AI. This position offers great opportunities for both technical growth and leadership development.

Responsibilities:

  •  Develop and implement machine learning models for various applications.
  •  Create and deliver training programs to enhance the AI capabilities of internal teams.
  •  Collaborate with cross-functional teams to ensure AI models meet business requirements.
  •  Stay informed on the latest AI trends and advancements to continuously improve solutions.

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, AI, or a related field.
  • 3+ years of experience in AI and machine learning model development.
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong communication skills for delivering training sessions and technical presentations.
  • Experience with programming languages like Python, R, or Java.
  • Proven ability to work with cross-functional teams and manage multiple projects.
  • Knowledge of AI ethics and best practices in AI model development.
  •  Experience in both AI model deployment and internal training delivery.
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