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
