Description
Educational Background:
• Minimum Qualification: Master’s or Ph. D. in Computer Science or AI or Machine Learning or Data Science or a related field. A Bachelor’s degree with extensive industry experience in AI applications may also be considered.
• Certifications: AI/ML certifications from Google or Microsoft or AWS or OpenAI, or Hugging Face or related. Knowledge of AI ethics and regulations (GDPR, U. S. AI Bill of Rights) is a plus.
Technical Expertise:
• AI & ML Fundamentals: Strong understanding of machine learning, deep learning, NLP, and AI model architectures (GPT-4, BERT, Claude).
• AI Tools & Platforms:
• Text AI: ChatGPT, Claude, Jasper. ai, Hugging Face.
• Image AI: MidJourney, Stable Diffusion, DALL-E, Leonardo AI.
• Video AI: Runway ML, Synthesia, HeyGen.
• Audio AI: Eleven Labs, Suno AI, Lalal. ai.
• Automation: AutoGPT, Zapier, Microsoft Copilot.
• Programming & Development: Proficiency in Python (TensorFlow, PyTorch, Hugging Face), API integrations (OpenAI, Google Cloud AI, AWS AI), and data processing (Pandas, NumPy, Matplotlib).
• AI Deployment & Cloud Computing: Experience with AWS, Google Cloud, and Azure, including GPU/TPU optimization.
• Cross-Domain AI Integration: AI applications in text, image, video, audio, and business strategy.
Teaching & Mentorship:
• Instructional Experience: Teaching AI/ML courses at universities or platforms like Udemy, Coursera, or edX. Ability to simplify complex AI topics for technical and non-technical learners.
• Soft Skills: Strong communication, mentorship, and feedback skills for guiding students in AI-driven portfolio development.
• Collaboration & Engagement: Leading group projects, fostering industry discussions in AI communities (Slack, Discord), and networking with professionals.
Industry Experience:
• Professional Background: 3-5 years in AI-related roles (AI Engineer, Data Scientist, AI Consultant) with real-world AI deployment experience.
• Case Study Expertise: Knowledge of AI applications in healthcare, e-commerce, entertainment, and education. Hands-on experience in AI solution development.
Additional Skills:
• Freelancing & Monetization: Understanding AI monetization strategies and entrepreneurship in AI-driven businesses.
• Ethics & Compliance: Strong grasp of AI ethics, bias mitigation policies.
• Portfolio Development: Assisting students in building AI-focused online profiles (LinkedIn, websites).
Responsibilities:
• Deliver engaging lectures and hands-on workshops.
• Guide students through practical AI projects and capstone assignments.
• Organize guest webinars with AI professionals.
• Mentor students in career development and freelancing.
• Stay updated with emerging AI trends and technologies.
Salary Package: The salary package will be honorable.
Please send your CV @ [redacted email address] pk