AIML Trainer

Job Description – Assistant Professor – AI/ML
Position: Assistant Professor – Artificial Intelligence & Machine Learning
Location: Bhopal
Employment Type: Full-time
Experience: 0–5 Years
Joining: Immediate Joiners Preferred
About the Role
We are looking for a passionate and knowledgeable Assistant Professor – AI/ML to join our academic team in Indore. The candidate will be responsible for delivering engaging lectures, conducting practical sessions, mentoring students, and contributing to academic activities.
Key Responsibilities
Deliver theoretical and practical sessions in Artificial Intelligence and Machine Learning.
Prepare lesson plans, course materials, assignments, and assessments.
Mentor and guide students on academic and industry-oriented projects.
Evaluate student performance through assignments, projects, presentations, and examinations.
Stay updated with the latest AI/ML technologies, tools, and industry trends.
Conduct workshops, seminars, and practical learning sessions.
Support curriculum development and academic initiatives.
Encourage students to develop practical and industry-relevant skills.
Educational Qualification
Candidates must have either:
BCA + MCA, or
B.Tech + M.Tech in Computer Science / Computers
Required Skills
Strong knowledge of Artificial Intelligence and Machine Learning.
Knowledge of Machine Learning algorithms, Deep Learning, and Data Science concepts.
Familiarity with Python and relevant AI/ML libraries and tools.
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Passion for teaching, mentoring, and student development.
Ability to conduct both theoretical and practical sessions.
Preferred Candidates
Candidates with prior teaching/academic experience will be preferred.
Industry experience in AI/ML will be an added advantage.
Immediate joiners are highly preferred.
Freshers with strong technical knowledge and communication skills may also be considered.
Location: Bhopal
Joining: Immediate Joiner Preferred

Work arrangement
No