Generative AI / Python / Java Full Stack Trainer

Job Description

Job Title: Generative AI/ Python /Java Full Stack Trainer About Us: We are a leading IT training institute dedicated to upskilling students and professionals in cutting-edge technologies. We offer industry-relevant programs to prepare learners for successful careers in IT. Currently, we are expanding our training team and seeking an experienced trainer for Generative AI, Python Programming, and Java Full Stack Development. Job Description: We are looking for an enthusiastic and knowledgeable Trainer who can deliver high-quality training sessions in Generative AI / Python / Java Full Stack Development . The ideal candidate will have a passion for teaching, a strong industry background, and the ability to make complex concepts easy to understand. Key Responsibilities: Conduct engaging and interactive training sessions (offline or online) on Generative AI, Python programming, and Java Full Stack Development. Design course materials, assignments, and projects to ensure practical, hands-on learning. Stay updated with the latest trends, tools, and technologies in AI, Python, and Java ecosystems. Monitor and evaluate students progress, provide feedback, and support their career growth. Mentor students for real-world project development and industry readiness. Collaborate with the academic team to improve and update course content continuously. Skills & Experience: Proven experience as a Trainer/Instructor/Industry Professional in Generative AI, Python, and Java Full Stack Development. Strong understanding of Generative AI concepts (LLMs, Prompt Engineering, NLP, Model fine-tuning, OpenAI tools, etc.). Proficiency in Python programming and frameworks (Flask/Django, NumPy, Pandas, etc.). Expertise in Java Full Stack technologies: Core Java, Advanced Java Spring / Spring Boot REST APIs Frontend: HTML, CSS, JavaScript, React / Angular (preferred) Database: MySQL, MongoDB Familiarity with cloud services (AWS, Azure, GCP) — a plus. Good communication and presentation skills. Prior experience in training, mentoring, or delivering workshops is highly desirable. Qualifications: Bachelor’s / Master’s Degree in Computer Science, Engineering, or related fields. Professional certifications (where applicable) will be an added advantage. Why Join Us: Opportunity to work with a reputed training institute. Dynamic and supportive work environment. Flexibility to deliver training sessions (offline/online/hybrid). Continuous learning and development opportunities. Competitive compensation and performance incentives. How to Apply: Interested candidates can submit their resume along with a brief cover letter highlighting their relevant experience and teaching background. Job Type: Full-time Schedule: Day shift Work Location: In person