Ai/ml Part Time Trainer
3 hours ago
**Job Title**: Part-Time AI/ML Trainer
**Company**: Clinilaunch Research Institute
**Location**: Remote (Online Training)
**Position Type**: Part-Time
**Compensation**: Per Batch Basis
**Job Overview**:
**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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