Job Title

Designation- Instructor- Data Science/Machine Learning BU- Working ProfessionalLocation- Work from HomeSalary Range- 10LPA- 12LPAWork schedule:Live Session- Monday to Friday- 2hrs/per day in the evening, 7:30 pm-9:30 pmLive Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pmKey Responsibilities:Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects.Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines.Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments.Requirements:3+ years of industry or academic experience in DS/ML or AI.Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/MLProficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch).Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML).Excellent presentation and mentoring skills in live and small-group settings.Prior teaching or edtech experience is a strong plus.