Lead Trainer – AI Agents, Data Science & Analytics

We are seeking an experienced and passionate 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.

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.
2. Content Development: Collaborate with the curriculum development team to create and update course materials, including lectures, hands-on projects, and assessments.
3. Student Mentorship: Provide guidance and support to students, helping them navigate complex concepts and complete practical assignments.
4. Performance Evaluation: Assess student progress through evaluations, provide constructive feedback, and identify areas for improvement.
5. Continuous Improvement: Stay abreast of the latest developments in AI and data science, incorporating relevant advancements into the training programs.
6. Course Video Creation: Create video tutorials related to the courses.

Qualifications:

1. Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
2. Technical Expertise: Proficiency in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), NLP techniques, LLMs, LangChain, SQL, Excel, Power BI, and Tableau.
3. Teaching Experience: Prior experience in teaching or training, with the ability to explain complex concepts in an accessible manner.
4. Communication Skills: Excellent verbal and written communication skills, with the ability to engage and inspire learners.
5. Adaptability: Ability to tailor teaching methods to accommodate diverse learning styles and backgrounds.

Preferred Qualifications:

1. Certifications: Relevant certifications in AI, data science, or analytics.
2. Industry Experience: Hands-on experience in developing AI applications or working with data analytics projects in a professional setting.
3. Tool Proficiency: Familiarity with low-code platforms like n8n and experience in integrating APIs for AI workflows.

What We Offer:

1. Professional Development: Opportunities for continuous learning and growth in the rapidly evolving fields of AI and data science.
2. Collaborative Culture: A supportive team environment that values innovation and knowledge sharing.
3. Competitive Compensation: Attractive remuneration packages commensurate with experience and qualifications.

Application Process:

Interested candidates are invited to submit their resume, a cover letter detailing their relevant experience, and any supporting materials hr@galtech.org

Join GALTech School of Technology in shaping the future of AI and data education, empowering the next generation of professionals!