Work from Office
Full Time
Key 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 worke.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 Masters degree in DS or ML &AI or CS specialization in AI & DS/ML
Proficiency 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.
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