Interns at FlexiSAF Edusoft Limited

Requirements

• Basic working knowledge of HTML, CSS, Javascript. Knowledge React Js and other Front End development frameworks are not mandatory for beginners.
• Be analytical and possess mathematics skills.
• Excellent Organization Skills.
• Accountable via set metrics and performance indicators.
• Excellent Time Management Skills.
• Resourceful, troubleshooting aptitude while being result-oriented.
• Open to learning.
• The Ability to work with a team is important.
• Apply knowledge gained in computer science or software engineering related courses to real-world challenges.

go to method of application »

Requirements

• Understanding of Design Foundations, working knowledge of Design tools such as Figma and Adobe Creative Studio (XD, Photoshop) e.t.c. Basic knowledge of CSS, CSS extension languages (LESS, SASS) and CSS Preprocessor tools (for advanced UI/UX Interns).
• Creativity, keen design-eye.
• Excellent Organization Skills.
• Accountable via set metrics and performance indicators.
• Excellent Time Management Skills.
• Resourceful, troubleshooting aptitude while being result-oriented.
• Open to learning.
• The Ability to work with a team is important.
• Apply knowledge gained in computer science or software engineering related courses to real-world challenges.

go to method of application »

Requirements

• Basic working knowledge of Java; understanding of Back End Development frameworks such as Spring, Flyway, Quarkus is not mandatory for beginners.
• Interest and basic skills in Machine Learning, Artificial Intelligence is an added advantage (include this in the skills field)
• Be analytical and possess mathematics skills.
• Excellent Organization Skills.
• Accountable via set metrics and performance indicators.
• Excellent Time Management Skills.
• Resourceful, troubleshooting aptitude while being result-oriented.
• Open to learning.
• The Ability to work with a team is important.
• Apply knowledge gained in computer science or software engineering related courses to real-world challenges.

go to method of application »

Requirements

• Familiarity or Working knowledge in at least one programming language such as Python and its associated libraries such as TensorFlow, PyTorch, or scikit-learnis required.
• Familiarity or Working knowledge of backend development principles, frameworks and technologies is essential. This includes experience with server-side programming languages such as Python, Java, or Node.js and frameworks such as Flask or Django, as well as proficiency in working with databases and RESTful APIs.
• Familiarity or Understanding of fundamental AI concepts and techniques such as machine learning, deep learning, neural networks and architectures, data modeling, computer vision, and  NLP (Natural Language Processing). 
• Familiarity with Data Manipulation and Analysis: Proficiency in data manipulation and analysis, applicants should have basic knowledge of large datasets, performing data preprocessing, feature engineering and data visualization using visualization tools such as Google Data Studio, Power BI, Tableau, e.t.c.
• Familiarity with AI Ethics and Bias.
• Accountable via set metrics and performance indicators
• Analytical and problem-solving skills.
• Communication Skills and Teamwork.
• Portfolio or Demonstrable Projects that demonstrate your skills and passion for AI development. This can include personal projects, academic projects, or contributions to open-source AI projects would be an advantage for participants joining at the Level 3 (Advanced stage).

go to method of application »

Requirements

• Understanding of Design Foundations, working knowledge of Design tools such as Adobe Creative Studio such as XD, Photoshop, Illustrator, e.t.c.
• Creativity, keen design-eye.
• Excellent Organization Skills.
• Accountable via set metrics and performance indicators. 
• Excellent Time Management Skills.
• Resourceful, troubleshooting aptitude while being result-oriented.
• Open to learning.
• The Ability to work with a team is important.
• Apply knowledge gained in computer science or software engineering related courses to real-world challenges.