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Groundup.AI Hiring! AI-IoT Intern in - Ricebowl

AI-IoT Intern

Groundup.AI

Internship

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

Description:

  • Are you fascinated by the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT)?
  • Do you aspire to be at the forefront and working with groundbreaking AI and IoT innovation?
  • Eager to work with cutting-edge technologies in AI, IoT, and smart systems?

Look no further! The ************* Artificial Intelligence team is looking for curious and confident interns who love cutting-edge technologies, have a keen interest in computer science, data analytics, engineering, or mathematics, and are passionate about leading and making things happen! Our AI-IoT internships are designed meticulously to provide a unique opportunity to learn, experience, and join a first-class team.

Our AI-IoT internships are designed meticulously to provide a unique opportunity to learn, experience, and join a first-class team.

What You’ll Get To Do:

  • Work on next-generation projects and exciting innovative technologies from day 1.
  • Engage in the development and innovation of IoT sensors and devices.
  • Gain hands-on experience from ************* engineers.
  • Monitor and maintain data pipelines in advanced IoT ecosystems.
  • Develop, build, validate, test, and deploy new machine learning models alongside ************* data scientists to solve challenging real-world problems.
  • Deploy edge computing and AI models for real-time analytics in real client environments
  • Generate and present comprehensive reports to stakeholders, showcasing the integration of AI with IoT to boost client confidence and project outcomes.
  • Orchestrate scenarios to run simulations to refine predictive models and machine learning algorithms.
  • Ensure the highest data quality standards, aiding the data science team in developing powerful predictive models for IoT applications.

How You’ll Get To Grow:

  • Develop your project management skills while becoming a team player
  • Become an excellent communicator at all levels of the organization.
  • Learn how to collaborate with and manage stakeholders across different teams
  • Become an independent and resourceful problem solver
  • Learn from machine learning experts how to solve real-world problems in a meticulous, structured, and methodical manner.

Who We’re Looking For

  • Currently pursuing a degree in Computer Science, Data Science, or a related field to Artificial Intelligence or Machine Learning.
  • Ambitious, goal-oriented, and possess strong thinking/problem-solving skills with a “can-do” attitude.
  • Ability to execute, get things done and is keen to take responsibility
  • Ability to analyze data, identify patterns, and be ‘Sponge-like’ in learning.
  • Candidates who are proficient in Python programming.
  • Candidates who are familiar with Linux environments.
  • Experience with IoT development is a plus.
  • Proven use of machine learning, statistical modeling, or econometrics in internships or coursework is a plus.
  • Comfortable collaborating cross-functionally – with people from different functions, backgrounds, and experiences.

What Can You Expect?

  • An encouraging, innovative, and open culture that values independent learning
  • On-the-job coaching with detailed feedback for truly all-rounded personal development.
  • Massive opportunities to apply what you’ve learned in school, and explore experiences way beyond the classroom.
  • The fulfillment of seeing your actions impacting the results in a real environment.
  • To be in the network of an exceptionally talented team with leaders, who really care, and engineering industry experts.
  • A fast-paced, challenging environment with exposure to unique learning experiences.
  • To gain a perspective on how innovation is applied in real companies.

Internship Outcomes

Upon successful completion of the internship, students will receive:

  • A referral letter signed by the senior management of *************; can be used for job or program applications.
  • Practical and transferrable industry expertise and skills for future career success.

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