Designation- Instructor- Data Science/Machine Learning BU- Working Professional Location- Mumbai- Marol/ Bangalore-AMR Tech Park (Hybrid) Salary Range- 10 LPA- 12 LPA Weekoffs - Wednesday & Thursday or Thursday & Friday. 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, Tensor Flow/Py Torch, 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, Tensor Flow or Py Torch). Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS Sage Maker, 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.
Job Title
Instructor- data science & machine learning - working professional