AI/ML Trainer-Part Time

4 weeks ago


Hyderabad India CliniLaunch Research Institute Full time

Job Description 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



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