3. Job Description – AI/ML Trainer
About the Role
We are looking for an experienced AI/ML Trainer to deliver instructor-led classroom training to engineering students. The trainer will be responsible for delivering technical sessions, conducting hands-on labs, mentoring students on mini projects and capstone projects,and ensuring students gain practical, industry-relevant skills.
Key Responsibilities
- Deliver engaging classroom training on Data Science, Machine Learning, and Deep Learning concepts to engineering students.
- Conduct instructor-led sessions covering theory, coding demonstrations, hands-on labs, assignments, and project mentoring.
- Deliver training aligned with the prescribed curriculum, including:
- Python for Data Science
- Statistics & Probability for Machine Learning
- Supervised Learning
- Unsupervised Learning & Feature Engineering
- Deep Learning & Neural Networks
- Natural Language Processing (NLP) & Time Series Analysis
- ML Model Deployment using FastAPI, Streamlit, Docker, and AWS
- Conduct practical sessions using industry-standard datasets and real-world use cases.
- Mentor students in completing mini projects and capstone projects.
- Evaluate students through assessments, coding exercises, assignments, and project reviews.
- Collaborate with the academic team to ensure timely completion of the training schedule and maintain high training quality.
Technical Skills Required
The candidate should have hands-on expertise in:
Programming & Data Analysis
- Python
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Jupyter Notebook / Google Colab
Machine Learning
- Regression & Classification
- Decision Trees
- Random Forest
- Support Vector Machines (SVM)
- K-Nearest Neighbours (KNN)
- XGBoost / LightGBM
- Model Evaluation
- Cross Validation
- Hyperparameter Tuning
- Feature Engineering
Deep Learning
- TensorFlow
- Keras
- Artificial Neural Networks (ANN)
- CNN
- RNN
- LSTM
- Transfer Learning
NLP & Time Series
- Text Pre-processing
- TF-IDF
- Word2
📌 AI/ML Trainer (Delhi)
🏢 AS Technology
📍 Delhi
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