
Generative AI, Data Science Intern
Posted Jul 17

Posted Jul 17
This is a fully remote position, open to applicants in Nigeria.
• At FlexiSAF, we are dedicated to transforming learning, cultivating talent, and motivating individuals to make positive career choices.
• Our Generative AI and Data Science program aims to develop the next generation of AI professionals who will spearhead innovation and create opportunities.
• The program is structured into three tiers: beginner, intermediate, and advanced.
• Accepted participants will engage in a self-directed learning process, undertake tasks, and complete projects in alignment with a meticulously designed Internship Program Curriculum and resources provided at no cost. Their progress will be continuously monitored and supervised throughout the cohort to ensure they stay on track and accountable.
• Throughout the program, participants will learn alongside innovative and inspiring leaders through mentorship, gaining valuable experience working on real-world solutions while also acquiring essential work-ready soft skills along the way.
• A familiarity or working knowledge of at least one programming language such as Python and its associated libraries including TensorFlow, PyTorch, or scikit-learn is required.
• A familiarity or working knowledge of backend development principles, frameworks, and technologies is essential.
• Understanding fundamental AI concepts and techniques such as machine learning, deep learning, neural networks and architectures, data modeling, computer vision, and NLP (Natural Language Processing) is necessary.
• Proficiency in data manipulation and analysis is required, with applicants expected to have a basic understanding of large datasets, data preprocessing, feature engineering, and data visualization using tools like Google Data Studio, Power BI, Tableau, etc.
• Familiarity with AI ethics and bias is important.
• Accountability through established metrics and performance indicators is essential.
• Strong analytical and problem-solving skills are required.
• A portfolio or demonstrable projects that showcase your skills and passion for AI development is necessary.
• Mentorship from industry experts: Receive valuable insights and guidance from leading AI and Data Science professionals who will mentor you throughout the program.
• Hands-on projects: Implement your learning through real-world projects, providing practical experience and a robust portfolio.
• Access to tools: Explore cutting-edge AI and Data Science tools and technologies, including generative AI frameworks, to stay ahead in the field.
• Career advancement: Prepare for a successful career in AI and Data Science with our comprehensive program, paving the way for exciting opportunities.
• Networking opportunities: Connect with a diverse and supportive community of fellow learners and professionals in the industry.
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