AI/MLFreelance Trainer

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