
AI Training Expert
2 weeks ago
We are seeking an experienced AI trainer to deliver high-quality training programs and workshops for individuals and teams on AI, Machine Learning, Deep Learning, and related fields.
As a successful candidate, you will have the opportunity to design and deliver engaging training sessions, adapt your approach to suit varying levels of expertise, and stay up-to-date with the latest advancements in technology and industry trends.
- Key Responsibilities:
- Design and deliver training programs and workshops on AI, ML, DL, and related fields.
- Adapt training methods to suit varying levels of expertise.
- Develop structured course materials, including slide decks, coding exercises, case studies, and hands-on projects.
- Guide learners through practical exercises, coding labs, and project-based learning.
- Offer one-on-one mentorship to learners and provide constructive feedback.
- Develop and administer assessments to evaluate learner understanding and skill levels.
Requirements:
- Proficient in AI, ML, DL, and related technologies.
- Hands-on experience with key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, NumPy, Pandas, and Matplotlib.
- Strong communication skills and ability to explain technical concepts in simple terms.
- Ability to debug code, identify errors, and explain solutions effectively.
- B.Tech., M.Tech., MCA or equivalent experience.
- 2-6 years' of experience.
What We Offer:
- Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies.
- Access to continuous learning resources and mentorship programs to sharpen your expertise.
- Chance to build leadership and communication skills by mentoring learners and engaging with professionals across various industries.
- Collaborative work environment that supports growth and development.
Our Culture & Values:
- Fast-paced, collaborative, and innovative startup culture.
- Nurturing talent and giving everyone the chance to grow professionally and personally.
- Trusting team members to take ownership of their work and make meaningful contributions.
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