AI & Machine Learning Intern - 1 Post

Company Details
Industry: Telecommunications
Description: Agile Business Solutions was established in May 2013 with the objective of providing adequate and efficient IT solutions to clients.

Our culture is to satisfy our client’s needs by offering top class customized solutions that are in line with the latest technology and best IT practices.

Agile …
Agile Business Solutions was established in May 2013 with the objective of providing adequate and efficient IT solutions to clients. Our culture is to satisfy our client’s needs by offering top class customized solutions that are in line with the latest technology and best IT practices. Agile business solutions does software development and customization sells IT hardware. IT consultancy services and training. View more View less
Job Details
Job Type: Full Time
Workplace Type: On-site
Qualification: Diploma
Job Experience: Mandatory
Job Location: Nairobi County, Kenya
Closing Date: Undisclosed
Salary: KES Unspecified / month
Other Pay: Benefits
Job Category: Telecommunications
Job Description

Job Overview

The AI & Machine Learning Intern will support the design, development, and deployment of AI-driven solutions while assisting with data preparation, model development, and analytics. This role offers hands-on experience in cutting-edge machine learning projects and collaboration with experienced data scientists and engineers.

Key Responsibilities

  • Assist in designing and developing AI and machine learning models to solve business problems.
  • Prepare, clean, and preprocess datasets for model training and evaluation.
  • Support the deployment and monitoring of AI solutions in production environments.
  • Conduct exploratory data analysis and generate insights to inform model development.
  • Document methodologies, experiments, and results to ensure reproducibility and knowledge sharing.

Qualifications

Minimum Qualifications

  • Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related field from an accredited and recognized institution.
  • Foundational understanding of machine learning concepts and algorithms.
  • Proficiency in Python and familiarity with data manipulation libraries (e.g., pandas, NumPy).
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
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