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
3-5 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
Job Type: Part-time
Pay: Up to ₹65,000.00 per month
Expected hours: No less than 6 per week
Work Location: In person
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