AI Trainer

About the Role

**Job Title:** Lead Trainer \- AI, ML, Deep Learning, NLP, Statistics \& Computer Vision **Location:** Noida, NCR **Job Type:** Full\-time **Experience:** Minimum 1 year **About the Role** We are looking for a dynamic AI \& Data Science Trainer who is passionate about AI and enjoys empowering the next generation of data scientists and ML engineers. You will deliver high\-impact training across Statistics, Machine Learning, Deep Learning, NLP, Computer Vision, and GPT\-based Models. **Key Responsibilities** * Deliver live or recorded training sessions (online/in\-person) * Design course materials, project guides, and assessments * Mentor learners and resolve doubts * Continuously upgrade the curriculum to match industry trends * Collaborate with content and product teams on course innovation * Conduct project reviews, mock interviews, and capstone evaluations **Topics You Will Teach** * Statistics: Probability, Regression, ANOVA, Hypothesis Testing * Machine Learning: Supervised/Unsupervised Learning, Ensemble Methods, Model Deployment * Deep Learning: CNNs, RNNs, LSTMs, GANs, TensorFlow/PyTorch * NLP: Embeddings, Transformers, BERT, GPT, Sentiment Analysis * Computer Vision: Object Detection, OpenCV, ResNet, Medical Imaging * GPT\-1 \& GPT\-2: Transformer Architecture, Fine\-tuning, Ethical AI **Required Qualifications** * Bachelor's/Master's degree in Computer Science, Mathematics, AI, Data Science, or a related field * Minimum 1 year of experience in AI/ML training or application development * Strong expertise in Python, NumPy, Pandas, Scikit\-learn, OpenCV, TensorFlow/PyTorch * Hands\-on experience with end\-to\-end ML/DL/NLP projects * Strong communication and presentation skills **Good to Have** * Experience deploying models on AWS/GCP/Azure * Familiarity with MLOps tools (Prometheus, MLflow, Docker) * Prior experience fine\-tuning transformer models (GPT, BERT) * AI certifications (TensorFlow Developer, AWS ML Specialty) **Job Type:** Full\-time **Work Location:** In person, Noida Pay: ₹30,000\.00 \- ₹50,000\.00 per month Benefits: * Paid sick time * Paid time off * Provident Fund Work Location: In person