Trainer AI

• *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

Benefits

• Paid sick time
• Provident Fund

Work Location: In person