Job Description3. Job Description – AI/ML Trainer
NAbout the Role
nWeare 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.
NKey Responsibilities
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- Deliver engaging classroom training on Data Science, Machine Learning, and Deep Learning concepts to engineering students. N
- Conduct instructor-led sessions covering theory, coding demonstrations, hands-on labs, assignments, and project mentoring. N
- Deliver training aligned with the prescribed curriculum, including: N
- Python for Data Science N
- Statistics & Probability for Machine Learning N
- Supervised Learning N
- Unsupervised Learning &Feature; Engineering N
- Deep Learning & Neural Networks N
- Natural Language Processing (NLP) & Time Series Analysis N
- ML Model Deployment using FastAPI, Streamlit, Docker, and AWS N
- Conduct practical sessions using industry-standard datasets and real-world use cases. N
- Mentor students in completing mini projects and capstone projects. N
- Evaluate students through assessments, coding exercises, assignments, and project reviews. N
- Collaborate with the academic team to ensure timely completion of the training schedule and maintain high training quality. N
nTechnical Skills Required
NThe candidate should havehands-on expertise in:
NProgramming & Data Analysis
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- Pythonn
- NumPy N
- Pandasn
- Matplotlib N
- Seabornn
- Jupyter Notebook / Google Colab N
nMachine Learning
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- Regression & Classification N
- Decision Treesn
- Random Forest N
- Support Vector Machines(SVM) N
- K-Nearest Neighbours (KNN) N
- XGBoost / LightGBMn
- Model Evaluation N
- Cross Validationn
- Hyperparameter Tuning N
- Feature Engineering N