AI/ML Part time Trainer-Offline

Job Overview

CliniLaunch Research Institute is seeking a skilled and passionate Part-Time AI/ML Trainer to conduct offline classroom sessions for students and professionals aspiring to build a career in Artificial 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

Conduct offline (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 using Python, 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 with AI/ML advancements and integrate new tools and technologies into training.

Required Qualifications

35 years of professional experience in AI, Machine Learning, or Data Science.

Proven experience as a trainer, mentor, or instructor in AI/ML.

Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).

Excellent communication and presentation skills.

Experience with cloud-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 in supervised/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 the number of batches delivered