AI, Data Science & Full Stack Trainer Cum Developer

We are seeking a skilled AI, Data Science & Full Stack Trainer cum Developer to deliver industry-oriented training programs and contribute to real-world development projects. The ideal candidate should have strong technical expertise in AI, Data Science, Full Stack Development, and modern technologies, along with the ability to mentor and guide learners.

Key Responsibilities:

• Deliver practical training in Python, Machine Learning, Deep Learning, NLP, LLMs, LangChain, Prompt Engineering, and Data Analytics.
• Train students in Full Stack Development, including HTML, CSS, JavaScript, React.js, Node.js, and backend technologies.
• Cover databases such as SQL, MySQL, and MongoDB, along with tools like Excel, Power BI, and Tableau.
• Develop and update training materials, assignments, assessments, and hands-on project modules.
• Guide students in developing AI, Data Science, and Full Stack Development projects through hands-on learning and practical demonstrations.
• Mentor students, guide project completion, evaluate performance, and provide constructive feedback.
• Stay updated with emerging technologies and industry trends and incorporate them into training programs.
• Create technical tutorials, demonstrations, and educational content.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong proficiency in Python, Machine Learning, Deep Learning, NLP, LLMs, and related AI technologies.
• Good knowledge of Full Stack Development, including HTML, CSS, JavaScript, React.js, Node.js, and database management.
• Familiarity with SQL, Excel, Power BI, Tableau, and modern development tools.
• Previous experience in teaching, training, mentoring, or conducting technical sessions will be an added advantage.
• Excellent communication and problem-solving skills, with the ability to explain technical concepts effectively.
• Candidates with minimum 1 year of relevant industry experience are encouraged to apply.

What We Offer:

• Opportunities for continuous learning, certification support, and career growth.
• A dynamic and supportive work environment that encourages innovation and knowledge sharing.
• Attractive salary package based on skills, experience, and qualifications.

Work Location: In Person