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Generative AI and Data Science Internship Program

Remote: 
Full Remote
Contract: 
Internships
Salary: 
6 - 6K yearly
Experience: 
Entry-level / graduate
Work from: 
Nigeria

Offer summary

Qualifications:

Familiarity with at least one programming language such as Python., Understanding of backend development principles., Knowledge of fundamental AI concepts and techniques., Proficiency in data manipulation, analysis, and visualization tools., Portfolio or demonstrable projects showcasing skills..

Key responsabilities:

  • Engage in a self-study approach to learning.
  • Complete tasks and projects according to the curriculum.
  • Learn through mentorship from industry leaders.
  • Work on real-life solutions while developing soft skills.
  • Monitor progress throughout the internship cohort.
FlexiSAF Edusoft Limited logo
FlexiSAF Edusoft Limited
51 - 200 Employees
About FlexiSAF Edusoft Limited
FlexiSAF EduSoft Solutions Ltd is an indigenously owned ICT company head quartered in Abuja, Nigeria. Here at FlexiSAF we are dedicated to the improvement of the education sector using ICT as our core tool. We aim to be a leading player in the Information Technology Industry with our focus on taking the education sector to the next level using knowledge, creativity and Innovation. Our product portfolio has several software solutions: SAF School Management Software (SAFSMS), FlexiSAF Students’ Records Management System (SRMS), FlexiSAF Online Application System, School Websites, E-Learning Solution and E-Test Solution.
See more FlexiSAF Edusoft Limited offers

Job description

This is a remote position.

At FlexiSAF, we are passionate about reinventing learning, nurturing talent, and inspiring individuals to make positive career decisions. We believe that data science and artificial intelligence (AI) are two of the most important and transformative fields of our time, and we are committed to helping individuals develop the skills and knowledge they need to succeed in these fields.

Our Generative AI and Data Science program is designed to nurture the next generation of AI talents who will drive innovation and opportunities. It is designed to equip participants with the skills required to excel in this dynamic field.

The program is divided into three levels: beginner, intermediate, and advanced. Each level covers a range of topics, from the basics of data science and AI to more advanced concepts such as machine learning, deep learning, and generative AI.

Accepted Participants will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost, their progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable. During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.

NOTE: This is not a PAID opportunity therefore, payment as stipends to cover data allowance and other needs are not available for participants at this time. Every participant is expected to have a working laptop and access to data to allow FULL participation including progress tracking at different times throughout the cohort.

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. Applications close on the 2nd of December 2024!


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.

Required profile

Experience

Level of experience: Entry-level / graduate
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Tableau (Business Intelligence Software)Machine LearningEthical AIDjango (Web Framework)Scikit-Learn (Python Package)Data ManipulationDeep LearningPortfolio ConstructionCustom BackendRESTful APIPower BIPython (Programming Language)Java (Programming Language)TensorFlowIBM Data StudioPyTorch (Machine Learning Library)Node.js (Javascript Library)Data AnalysisFlask (Web Framework)Data Visualization

Other Skills

  • Verbal Communication Skills
  • Teamwork
  • Analytical Skills
  • Problem Solving
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