Machine Learning Trainer

Key Responsibilities:

• Deliver high-quality training sessions on Machine Learning, Deep Learning, AI, and related technologies.
• Develop curriculum and learning materials (presentations, assignments, labs, projects).
• Mentor and guide learners through hands-on exercises, coding sessions, and real-world case studies.
• Explain complex ML concepts (e.g., supervised/unsupervised learning, neural networks, model evaluation) in a simple and engaging way.
• Stay updated with latest ML tools, frameworks, and research trends.
• Assess learners’ performance, provide constructive feedback, and support their career readiness.
• Collaborate with the academic/product team to continuously improve course content and learning outcomes.
• (Optional) Contribute to AI research projects or content development for the organization.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• Strong programming skills in Python (experience with NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch).
• Solid understanding of:
• Machine Learning algorithms (regression, classification, clustering, etc.)
• Deep Learning concepts (CNNs, RNNs, LSTMs, etc.)
• Data preprocessing, feature engineering, and model evaluation techniques.
• Excellent communication and presentation skills.
• Passion for teaching, mentoring, and simplifying complex topics.
• 2+ years of experience as an ML engineer, data scientist, or technical trainer.
• Familiarity with cloud ML platforms (AWS Sagemaker, Google AI, Azure ML, etc.).
• Knowledge of MLOps, NLP, or Generative AI is a plus.
• Experience creating project-based learning content for learners.

Job Types: Full-time, Part-time, Permanent

Pay: ₹35,000.00 - ₹60,000.00 per month

Benefits:

• Provident Fund

Work Location: In person