Mumbai, India (Patkar-Varde College, Goregaon West)
Type:
Visiting / Part-Time
Target Profile:
Industry Professionals or Experienced Academicians with hands-on expertise in Machine Learning and Data Science
About SDBI:
SDBI (School of Data and Business Intelligence)
is a leading institute in Data Science and Business Analytics, dedicated to developing future-ready professionals with strong analytical, technical, and business skills. Our programs integrate real-world projects, practical learning, and emerging technologies like AI, Machine Learning, and Cloud Computing.
About the Role:
We are seeking passionate and experienced professionals to join as
Visiting Faculty - Machine Learning
at our Mumbai campus.
The ideal candidate will bring both
practical industry experience
and
conceptual clarity
, guiding students through the end-to-end ML lifecycle -- from data preprocessing to model deployment.
This is an excellent opportunity for industry practitioners who wish to mentor young talent and contribute to academia while maintaining professional commitments.
Key Responsibilities:
Deliver
interactive lectures and hands-on sessions
on Machine Learning concepts and applications.
Cover topics such as:
Supervised and Unsupervised Learning
Regression, Classification, and Clustering
Feature Engineering and Model Evaluation
Ensemble Learning (Random Forest, XGBoost)
Deep Learning (basics using TensorFlow/PyTorch)
Model Deployment and Interpretability
Design assignments, lab exercises, and
mini-projects
that encourage practical learning.
Mentor students on
real-world ML projects
, guiding them in problem-solving and experimentation.
Align course content with
current industry practices and tools
.
Evaluate student performance and provide constructive feedback.
Ideal Candidate:
3-10+ years of professional experience
in Data Science, Machine Learning, or AI roles.
Strong programming skills in
Python
and familiarity with
ML libraries
such as scikit-learn, TensorFlow, or PyTorch.
Practical experience in
data preprocessing, model building, and deployment
.
Excellent communication and mentoring skills.
Prior teaching or corporate training experience preferred but not mandatory.
A passion for