Job Title: Lead Trainer – AI, ML, Deep Learning, NLP, Statistics & Computer Vision

Location: Pune

Job Type: Full-Time

Experience: 3+ Years (Teaching or Industry Experience

About the Role

We are looking for a dynamic and experienced AI & Data Science Trainer who can deliver high-impact training across a comprehensive range of subjects including

Statistics, Machine Learning, Deep Learning, Natural Language Processing, Computer

Vision, and GPT-based Models. The ideal candidate should have a solid understanding of theoretical concepts and practical implementation using industry-relevant tools and frameworks.

Core Training Domains & Modules

You will be responsible for designing and delivering sessions based on the following comprehensive syllabus:

Statistics

- Descriptive & Inferential Statistics, Probability, Sampling, Regression, ANOVA
- Chi-Square Tests, Non-Parametric Tests

Machine Learning
- ML Foundations (Supervised, Unsupervised, Reinforcement Learning)
- Algorithms (Linear/Logistic Regression, SVM, Decision Trees, KNN)
- Clustering, PCA, t-SNE, Ensemble Methods, Neural Networks
- Model Evaluation Metrics, Deployment, and Monitoring (e.g., Prometheus)

Deep Learning:

- Neural Networks, CNNs, RNNs, LSTMs, GRUs, GANs, Autoencoders
- Optimization (SGD, Adam, Regularization, Dropout, BatchNorm)
- Frameworks: TensorFlow, Keras, PyTorch
- Applications in Vision, NLP, Speech

Natural Language Processing (NLP)
- Preprocessing, Embeddings (Word2Vec, GloVe, FastText)
- Text Classification, Sequence Models, Transformers (BERT, GPT, ELMo, DistilBERT,

etc.)
- NLP Tasks: Sentiment Analysis, Summarization, Translation, QA

Computer Vision:

- Image Processing,



Segmentation, Object Detection
- Feature Matching (SIFT, SURF), Optical Flow, 3D Vision
- CNN Architectures (ResNet, Inception), OpenCV Projects
- AR, Medical Imaging, Autonomous Driving

GPT-1 and GPT-2:
- Transformer Architecture, Training Process, Tokenization
- Differences between GPT-1 & GPT-2 (117M vs. 1.5B parameters)
- Applications: Text Generation, Summarization, QA, Translation
- Ethical AI, Bias, Fine-tuning GPT Models

Key Responsibilities

- Deliver live or recorded training sessions (online/in-person)
- Develop comprehensive course materials, project guides, and assessments
- Provide mentorship and doubt resolution support to learners
- Continuously upgrade curriculum to match evolving industry trends
- Collaborate with content and product teams for course innovation
- Conduct project reviews, mock interviews, and capstone evaluations

Requirements

- Bachelor’s or Master’s in CS, Mathematics, AI, Data Science, or related field
- 3+ years of relevant experience in AI/ML training or application development
- Expertise in Python, NumPy, Pandas, Scikit-learn, OpenCV, TensorFlow/PyTorch
- Hands-on experience in end-to-end ML/DL/NLP projects
- Strong communication & presentation skills

Preferred Qualifications

- Experience with deploying models on cloud platforms (AWS, GCP, Azure)
- Familiarity with MLOps tools like Prometheus, MLflow, Docker
- Prior experience working with or fine-tuning transformer models (GPT, BERT)
- AI certifications (e.g., TensorFlow Developer, AWS ML Specialty)

Pay: ₹9,300.00 - ₹50,000.00 per month

Advantages

- Paid sick time
- Provident Fund

Work Location: In person

📌 Trainer AI (Pune)
🏢 Nirmaan Organization
📍 Pune