AI/ML Part-Trainer(offline)

Job Overview

CliniLaunch Research Institute is seeking askilled and passionate Part-Time AI/ML Trainerto conductoffline classroom sessionsfor students and professionals aspiring to build a career inArtificial Intelligence and Machine Learning.

The ideal candidate should have strong industry experience, the ability to simplify complex AI/ML concepts, and a passion for teaching and mentoring learners to achieve professional excellence.

Key Responsibilities

• Conductoffline (in-person)classroom training sessions on:
• Machine Learning Algorithms
• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Model Evaluation & Deployment
• Python for Data Science
• Guide students through practical, hands-on projects usingPython, TensorFlow, PyTorch, Scikit-learn, and Jupyter Notebooks.
• Support students in preparing for recognized certifications (e.g.,TensorFlow Developer,AWS Certified Machine Learning).
• Evaluate learner performance and provide personalized feedback.
• Collaborate with the academic team to improve course content and delivery.
• Stay updated withAI/ML advancementsand integrate new tools and technologies into training.

Required Qualifications

• 35 years of professional experience inAI, Machine Learning, or Data Science.
• Proven experience as atrainer, mentor, or instructorin AI/ML.
• Strong proficiency inPythonand ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
• Excellent communication and presentation skills.
• Experience withcloud-based ML platforms (AWS, Azure, or GCP)is an advantage.

Preferred Certifications

• TensorFlow Developer Certificate
• AWS Certified Machine Learning Specialty
• Microsoft Certified: Azure AI Engineer Associate
• IBM AI Engineering Professional Certificate
• Google Cloud Professional Machine Learning Engineer

Key Skills & Attributes

• Strong foundation insupervised/unsupervised learning, deep learning, and model optimization.
• Ability to engage students and simplify complex technical concepts.
• Passion for mentoring and guiding aspiring professionals.
• Excellent organizational and time management skills for part-time classroom sessions.

Compensation

• Based on thenumber of batches delivered