About the Role
We are seeking an experienced and passionate Artificial Intelligence & Machine Learning (AI/ML) Trainer to deliver engaging, hands-on training sessions for college students. The trainer will design and deliver practical, industry-oriented content to help students gain strong foundations in AI/ML and apply them to real-world projects.
Key Responsibilities
- Deliver lectures, practical labs, and project-based sessions on AI/ML.
- Design curriculum and content tailored to the students’ academic level and industry needs.
- Teach core concepts including:
- Python programming for AI/ML
- Data preprocessing and visualization
- Supervised & Unsupervised learning
- Neural networks & Deep learning (TensorFlow/PyTorch)
- Natural Language Processing (NLP) basics
- Model evaluation, optimization, and deployment
- Provide guidance and mentorship for student projects and case studies.
- Evaluate student performance and provide constructive feedback.
- Stay updated with latest AI/ML industry tools and incorporate them into training.
Required Skills & Competencies
- Strong expertise in Python, NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch.
- Good understanding of statistics, probability, and linear algebra concepts.
- Experience in building, training, and deploying ML models.
- Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).
- Knowledge of cloud platforms (AWS, Azure, or Google Cloud AI services) is a plus.
- Excellent communication and presentation skills.
- Ability to engage and mentor students effectively.
Qualifications & Experience
- Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
- 3–5 years of professional experience in AI/ML/Data Science projects.
- Prior teaching/training experience (preferably with college students).
- Strong portfolio of projects/publications is an added advantage.
Job Type: Freelance
Contract length: 3 months
Pay: ₹38,000.00 - ₹42,000.00 per month
Benefits:
- Food provided
Language:
- English (Preferred)
Work Location: In person
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