TAF College IT Jobs in Accra
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TAF College is seeking a dynamic and knowledgeable Artificial Intelligence (AI) Instructor to join our faculty. The ideal candidate will be passionate about AI technologies and capable of teaching both foundational and advanced concepts to students preparing for careers in data science, machine learning, automation, and digital innovation.
Key Responsibilities:
Teach AI-related courses including:
- Introduction to Artificial Intelligence
- Machine Learning Fundamentals
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- AI Ethics and Responsible AI Use
- Applications of AI in Real-World Scenarios
- Develop and deliver engaging lectures, practical labs, and project-based assignments.
- Guide students through hands-on exercises using Python, TensorFlow, Scikit-learn, and other AI tools.
- Assess student performance and provide continuous feedback.
- Stay current with AI research and integrate industry trends into the curriculum.
- Support students in capstone projects, research, and career readiness.
- Collaborate with academic staff to improve course content and delivery.
- Participate in workshops, seminars, and institutional training programs.
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Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Minimum of 2 years teaching or industry experience in AI or machine learning.
- Strong programming skills, particularly in Python.
- Familiarity with AI frameworks such as TensorFlow, PyTorch, and OpenAI APIs.
- Solid understanding of algorithm design, data structures, and statistics.
- Excellent communication and teaching skills.
Preferred:
- Prior experience in academic instruction or curriculum development.
- Industry certifications in AI/ML or related technologies (e.g., Google AI, IBM AI Engineering).
- Practical experience with AI use cases in education, finance, robotics, or other industries.
1. Patiently scroll down and read the job description below.
2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
TAF College is seeking a dynamic and knowledgeable Artificial Intelligence (AI) Instructor to join our faculty. The ideal candidate will be passionate about AI technologies and capable of teaching both foundational and advanced concepts to students preparing for careers in data science, machine learning, automation, and digital innovation.
Key Responsibilities:
Teach AI-related courses including:
- Introduction to Artificial Intelligence
- Machine Learning Fundamentals
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- AI Ethics and Responsible AI Use
- Applications of AI in Real-World Scenarios
- Develop and deliver engaging lectures, practical labs, and project-based assignments.
- Guide students through hands-on exercises using Python, TensorFlow, Scikit-learn, and other AI tools.
- Assess student performance and provide continuous feedback.
- Stay current with AI research and integrate industry trends into the curriculum.
- Support students in capstone projects, research, and career readiness.
- Collaborate with academic staff to improve course content and delivery.
- Participate in workshops, seminars, and institutional training programs.
ADVERTISEMENT - CONTINUE READING BELOW ↓
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Minimum of 2 years teaching or industry experience in AI or machine learning.
- Strong programming skills, particularly in Python.
- Familiarity with AI frameworks such as TensorFlow, PyTorch, and OpenAI APIs.
- Solid understanding of algorithm design, data structures, and statistics.
- Excellent communication and teaching skills.
Preferred:
- Prior experience in academic instruction or curriculum development.
- Industry certifications in AI/ML or related technologies (e.g., Google AI, IBM AI Engineering).
- Practical experience with AI use cases in education, finance, robotics, or other industries.
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