We are seeking a Lead Trainer to oversee and deliver our AI Agents, Data Science, and Data Analytics training programs. The ideal candidate will possess a strong foundation in these domains, coupled with a flair for teaching and mentoring.
Roles & Responsibilities:
Key Responsibilities:
1.Curriculum Delivery: Conduct engaging training sessions covering topics such as Python programming, machine learning, deep learning, NLP, LLMs, LangChain, prompt engineering, data analysis, data visualization, SQL, Excel, Power BI, and Tableau.
- Content Development: Collaborate with the curriculum development team to create and update course materials, including lectures, hands‑on projects, and assessments.
- Student Mentorship: Provide guidance and support to students, helping them navigate complex concepts and complete practical assignments.
- Performance Evaluation: Assess student progress through evaluations, provide constructive feedback, and identify areas for improvement.
- Continuous Improvement: Stay abreast of the latest developments in AI and data science, incorporating relevant advancements into the training programs.
- Course Video Creation: Create video tutorials related to the courses.
Required Skills & Qualifications:
Qualifications:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Technical Expertise: Proficiency in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), NLP techniques, LLMs, LangChain, SQL, Excel, Power BI, and Tableau.
- Teaching Experience: Prior experience in teaching or training, with the ability to explain complex concepts in an accessible manner is advantage.
- Communication Skills: Excellent verbal and written communication skills, with the ability to engage and inspire learners.
- Adaptability: Ability to tailor teaching methods to accommodate diverse learning styles and backgrounds.
Benefits:
- Professional Development: Opportunities for continuous learning and growth in the rapidly evolving fields of AI and data science.
- Collaborative Culture: A supportive team environment that values innovation and knowledge sharing.
- Competitive Compensation: Attractive remuneration packages commensurate with experience and qualifications.
Job Type: Full-time
Work Location: In person