Naresh i Technologies
Website:
nareshit.com
Job details:
Company Description Naresh i Technologies (NareshIT) is a leading software training institute specializing in software training, project guidance, IT consulting, and technology workshops for learners and corporate clients. Using a global training delivery methodology and industry-focused curricula, the institute helps organizations improve business performance, accelerate time-to-market, boost productivity, and enhance customer service. NareshIT offers a comprehensive eLearning platform with detailed content and HD video tutorials, as well as internship programs, real-time projects, and 100% free placement services through weekly campus drives. Founded in 2004 and headquartered in Hyderabad, India, the institute operates offices and training centers in Hyderabad and Chennai, serving learners and corporate partners across multiple industries worldwide.
Role Description The Generative & Agentic AI Trainer is a full-time, on-site role based in Hyderabad. This role involves designing and delivering training programs on generative AI and agentic AI technologies, including foundational concepts, practical applications, and hands-on labs using contemporary tools and platforms. The trainer will develop structured course content, create real-time project scenarios, prepare training materials, and maintain up-to-date curricula aligned with industry trends and employer needs. Daily responsibilities include conducting classroom sessions, mentoring learners on assignments and projects, assessing performance, providing feedback, and supporting learners with placement-oriented guidance. The trainer will also collaborate with academic partners and internal teams to refine training offerings, contribute to workshops and seminars, and participate in ongoing program improvement.
Qualifications
- Candidates should possess strong expertise in generative AI concepts, including large language models, prompt engineering, and model fine-tuning.
- Candidates should possess skills in agentic AI design and implementation, including autonomous agents, tool use, workflow orchestration, and multi-agent systems.
- Candidates should possess practical proficiency in Python and common AI/ML frameworks (such as TensorFlow, PyTorch, or similar), as well as experience working with cloud-based AI platforms and APIs.
- Candidates should possess the ability to design structured training curricula, create detailed learning materials, and develop real-time project exercises and case studies.
- Candidates should possess strong classroom delivery skills, including clear communication, facilitation, learner engagement, and mentoring for diverse skill levels.
- Candidates should possess experience in assessing learner performance, providing constructive feedback, and preparing learners for interviews and placement opportunities.
- Candidates should ideally have prior experience as a technical trainer or educator in AI, data science, or software development, preferably in a training institute or corporate setting.
- Candidates should hold a bachelor’s degree or higher in Computer Science, Engineering, Data Science, or a related technical field, or have equivalent industry experience.
- Candidates should
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