We are seeking a passionate and skilled AI Trainer to lead comprehensive training programs designed to empower learners with practical AI and machine learning skills. This role requires an individual who can effectively teach, mentor, and inspire participants across various levels of expertise.
Responsibilities:
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- Deliver training on Python Essentials for AI/ML, including data manipulation using NumPy and Pandas and data visualization techniques.
- Introduce cloud-based and local development tools such as Google Colab and Jupyter Notebooks.
- Teach the mathematical foundations of AI, including linear algebra, eigenvectors, integral calculus, and backpropagation.
- Guide learners through computer vision topics such as image classification, object detection, face recognition, and advanced architectures (YOLO v9, ResNet 152).
- Train participants in Natural Language Processing (NLP)techniques, including text classification, NER, topic modeling, and advanced architectures like LSTMs and encoder-decoder models.
- Provide hands-on experience in building and deploying large language models (LLMs) such as GPT-3.5, GPT-4, and Claude AI.
- Explore generative AI and retrieval-augmented generation (RAG), including prompt engineering and no-code tools for building AI agents.
- Cover advanced AI applications like autonomous agents, multi-agent systems, and LLM integration in Python applications.
- Oversee practical projects in areas such as computer vision, NLP, LLMs, and AI agents to help learners gain hands-on experience.
- Offer mentorship, feedback, and career guidance to participants throughout the course duration.
Qualifications:
- Expertise in AI/ML with hands-on experience in deploying machine learning models and AI applications.
- Proficiency in Python programming and associated libraries (NumPy, Pandas, Matplotlib, etc.).
- Strong knowledge of mathematics relevant to AI, including linear algebra and calculus.
- Familiarity with state-of-the-art architectures and techniques in computer vision and NLP.
- Experience with cloud-based tools like Google Colab and local development using Jupyter Notebooks.
- Proven ability to design and teach comprehensive training programs for diverse audiences.
- Exceptional communication and interpersonal skills to engage effectively with learners.
Preferred Skills:
- Experience working with generative AI, RAG, and large language models.
- Practical knowledge of no-code tools for AI agent development.
- Familiarity with integrating LLMs into real-world applications using Python.
- Prior experience in mentoring or training roles in AI/ML.
Benefits of the Role:
- Collaborate with Minnodi LLC, a women-owned staffing company, to shape the future of AI education.
- Gain access to a community of AI professionals and learners.
- Opportunity to work on cutting-edge AI projects and accelerate career growth.