Job Title: AI Intern
Apply : https://forms.gle/7mUHFa2yKyRzoohp9
Overview
As an AI Intern, you will contribute to our growing AI and machine learning initiatives. You'll make a meaningful impact by harnessing data while working alongside our incredible data science and AI applications teams. You'll be paired with a skilled mentor who will help you develop your skills and make the most of your internship experience. If you get a kick out of solving problems and working with data to derive insights that will help lift people to work, you will love our team.
Key Responsibilities:
Assist in building and optimizing machine learning models, ensuring they meet project requirements.
Participated in the preprocessing of datasets and data cleaning to improve the performance of AI models.
Work with supervised, unsupervised, and reinforcement learning techniques, depending on the project.
Perform research on current AI trends, technologies, and best practices to assist the team in staying up to date.
Analyze and process large datasets to extract meaningful insights for AI model development.
Assist in testing AI models to ensure they are functioning as expected.
Identify and address potential issues or inaccuracies in AI systems.
Work closely with engineers, data scientists, and other teams to align AI solutions with business goals.
Contribute ideas and insights during team meetings, offering solutions to optimize AI solutions.
Maintain detailed records of AI experiments, model development processes, and results.
Assist in preparing reports and presentations summarizing the outcomes of AI research or experiments.
Skills:
Programming Languages: Proficiency in programming languages such as Python, R, or Java. Knowledge of AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn is an advantage.
Mathematics and Statistics: Strong understanding of statistical methods, linear algebra, and calculus to develop and evaluate machine learning models.
Data Handling: Familiarity with data manipulation, cleaning, and preprocessing techniques using libraries such as Pandas or Numpy.
Problem-Solving: Strong analytical thinking and problem-solving skills to troubleshoot and optimize models.
Communication Skills: Ability to clearly communicate findings, challenges, and solutions to team members.
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