AI/ML Trainer Job in Bhubaneswar at TechDefenceLabs Pvt. Ltd.

TechDefenceLabs Pvt. Ltd. is hiring for the role of AI/ML Trainer!

Responsibility of the Candidate:

• Deliver engaging and structured lectures on AI, ML, and related areas to B.Tech, MCA, and M.Sc-IT students.
• Teach topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Deep Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment.
• Ensure students gain both conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn.
• Continuously update teaching content to reflect industry trends and technological advancements.
• Develop course materials including lecture notes, practical assignments, mini-projects, and assessments.
• Create a collaborative and project-based learning environment to enhance student understanding.
• Conduct applied research in AI/ML and contribute to academic or industry publications.
• Stay updated with the latest in AI research, tools, and open-source frameworks.
• Support and guide students in AI/ML-based research and innovation projects.
• Provide mentorship to students working on AI/ML internships, final year projects, or competitions (e.g., Kaggle, Hackathons).
• Help students apply algorithms to real-world datasets and problem domains.
• Collaborate with academic peers and industry experts to strengthen the AI/ML curriculum and delivery.
• Establish connections with AI/ML startups or companies for student internships, guest lectures, and collaborative projects.
• Participate in AI/ML workshops, webinars, and conferences.
• Continuously upgrade your technical skills to match the evolving AI landscape.

Requirements:

• Master’s degree (M.Tech/M.Sc/MCA – with 6 Months to 1 Year experience) in Artificial Intelligence, Computer Science, Data Science, or a related field.
• Strong background in Machine Learning, Deep Learning, and Python-based AI tools.
• Teaching or corporate training experience is highly desirable.
• Expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn.
• Strong command over Python, NumPy, Pandas, and Jupyter Notebooks.
• Ability to explain complex algorithms in a simple, practical manner.
• Excellent communication and presentation skills.
• Analytical thinking and problem-solving abilities.
• A passion for teaching and mentoring future AI professionals.