Qureos

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AI Developer Intern

What You'll Do:

  • Work with team members on diverse projects and tasks.
  • Perform research and analysis to aid project objectives.
  • Create reports, presentations, and necessary documentation.
  • Engage in team meetings and share ideas.
  • Learn and implement industry best practices and company standards.
  • Support basic development and testing of AI chatbot features, including prompts, data inputs, and user interactions.
  • Help troubleshoot and improve chatbot performance by assisting with debugging, evaluations, and simple integrations.

AI Developer Responsibilities:

  • Collect, clean, and preprocess large-scale manufacturing datasets.
  • Apply machine learning models (e.g., regression, classification, clustering) to identify trends, anomalies, and predictive insights.
  • Collaborate with engineers and operations teams to translate data findings into actionable recommendations.
  • Develop visualizations and dashboards to communicate results clearly to technical and non-technical stakeholders.

What You'll Receive

  • Must be enrolled in a bachelor's program in a relevant discipline at an accredited university, with an anticipated graduation date between December 2026 and May 2028 (rising junior or rising senior).
  • Demonstrated strong academic performance with a minimum GPA of 3.0.
  • Must be available to work full-time for 12 weeks during the summer of 2026.
  • Must have reliable transportation to and from the work location.
  • Must be authorized to work in the US.

Preferred Requirements:

  • Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
  • Significant familiarity with Python, R, or similar programming languages.
  • Strong understanding of machine learning concepts and tools (e.g., TensorFlow, PyTorch).
  • Strong analytical and problem-solving skills.
  • Good communication skills and ability to work in a collaborative environment.

What You'll Receive

As of the date of this posting, a good faith estimate of the current pay scale for this position is $22 to $25. Placement in the range depends on several factors such as experience, skills, geography and may change over time.

  • Full-time work experience and competitive pay
  • Meaningful projects
  • Mentorship and guidance
  • Feedback and evaluation
  • Company culture
  • Networking opportunities and skill development

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