FlexiSAF Edusoft Limited is a Software company that is focused primarily on education. Since its inception in 2010, FlexiSAF has continued to take giants strides in reinventing learning and inspiring people to make lifelong positive impact. ? With over 500 institutions, (primary, secondary, tertiary, government parastatals and learning centres), over 100 staff and 6 branches, everything we do has our clients at the epicentre.
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).
Note: In other to be accepted into the program under the NYSC category participants will need to qualify for the Level 3 (Advanced stage) and undergo further assessment and work with our Product Teams during their service year.
Benefits
- Mentorship from Industry Experts: Gain valuable insights and guidance from industry-leading AI and Data Science professionals who will provide mentorship during the program.
- Hands-on Projects: Apply your learning to real-world projects, providing you with practical experience and a strong portfolio.
- Access to Tools: Explore the latest AI and Data Science tools and technologies, including generative AI frameworks, to stay ahead of the curve.
- Career Advancement: Prepare for a successful career in AI and Data Science with our comprehensive program, opening doors to exciting opportunities.
- Networking Opportunities: Connect with a diverse and supportive community of fellow learners and professionals in the field.
Method of Application
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