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AI/ML Engineering Intern

Aurora Financials
Mangaluru Not disclosed
5 days ago
Remote
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About the job

This remote role is for an AI/ML Engineering Intern who will assist with the development and implementation of machine learning models analyse large datasets to extract meaningful insights contribute to AI-driven solutions responsibilities include collaborating with team members on AI projects optimising algorithms presenting findings to support data-driven decision-making providing hands-on experience with cutting-edge technologies in a supportive innovative environment. We want someone who discovers new approaches designs clean experiments learns fast adapts has a growth mindset. Strong knowledge of programming languages such as Python R or JavaScript familiarity with frameworks like TensorFlow or PyTorch. Experience in Machine Learning Artificial Intelligence including knowledge of supervised unsupervised learning algorithms. Skills in data analysis working with tools like Pandas NumPy or similar. Familiarity with cloud-based platforms such as AWS Google Cloud or Azure. Problem-solving critical-thinking ability communicate technical concepts clearly. Currently pursuing degree in Computer Science Data Science Artificial Intelligence related field (or equivalent experience). Preferred: understanding financial systems algorithms related industries. How-to apply Send CV profile GitHub portfolio link one project shipped answer note answering most innovative thing built what did you learn?

Requirements

  • machine learning
  • data analysis
  • Python
  • R
  • JavaScript
  • TensorFlow
  • PyTorch
  • AWS
  • Google Cloud
  • Azure

Qualifications

  • degree in Computer Science
  • Data Science
  • Artificial Intelligence

Preferred Technologies

  • machine learning
  • data analysis
  • Python
  • R
  • JavaScript
  • TensorFlow
  • PyTorch
  • AWS
  • Google Cloud
  • Azure

About the company

Aurora Financials is an award-winning Audit, Accounting and Consulting practice dedicated to helping clients grow innovate and transform their businesses digitally.

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