Job Title: Asst Manager- DS/ML

Location: WFH

Experience Required: 3-8 years

Work schedule: Live Session- Monday to Friday2hrs/per day in the evening, 7:30 pm-9:30 pm Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm

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 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/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.