Clinilaunch Research Institute is seeking a knowledgeable and passionate
Part-Time AI/ML Trainer
to deliver high-quality, virtual training sessions to aspiring artificial intelligence and machine learning professionals. The ideal candidate will have strong industry experience and the ability to simplify complex concepts while preparing students for real-world applications and recognized certifications.
Key Responsibilities:
Conduct engaging online training sessions on key AI/ML topics including:
Machine Learning Algorithms
Deep Learning
Natural Language Processing (NLP)
Computer Vision
Model Evaluation & Deployment
Python for Data Science
Guide students through hands-on projects, real datasets, and tools such as Python, TensorFlow, PyTorch, Scikit-learn, and Jupyter Notebooks.
Assist learners with practical assignments and certification readiness (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning).
Provide regular feedback and assessments to monitor student progress.
Collaborate with the academic team to improve course content and training delivery.
Stay updated with industry trends, research developments, and AI/ML best practices.
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 popular ML libraries.
Excellent presentation and communication skills.
Experience with cloud-based ML platforms (AWS, Azure, or GCP) is a plus.
Preferred Certifications (any of the following):
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:
Solid foundation in supervised and unsupervised learning, deep learning, and model optimization.
Ability to break down complex AI/ML topics for learners from various backgrounds.
Passion for mentoring, teaching, and empowering future AI/ML professionals.
Strong organizational and time-management skills for part-time, remote teaching.
Mode of Work:
Offline
Part-Time Commitment
Compensation:
Based on batches delivered
Job Type: Part-time
Work Location: In person
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