Instructor- Data Science & Machine Learning - Working Professional

Role Overview: As a Data Science/Machine Learning Instructor at our organization, you will be responsible for conducting live instructions to educate working professionals on core topics related to Data Science and Machine Learning. This includes topics such as supervised and unsupervised learning, deep learning, model evaluation, and MLOps through engaging and interactive sessions. You will collaborate with content teams to develop labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based Data Science/Machine Learning services. Key Responsibilities: - Conduct live instructions to educate working professionals on topics related to Data Science and Machine Learning. - Collaborate with content teams to develop labs, code walkthroughs, and real-world case studies. - Provide support to learners by addressing technical queries, debugging code, reviewing notebooks, and offering feedback on assignments. - Mentor learners on capstone projects such as image/video models, NLP pipelines, recommendation systems, and deployment pipelines. - Analyze learner performance data to enhance modules, introduce new topics, and improve assessments. Qualifications Required: - Minimum of 3 years of industry or academic experience in Data Science, Machine Learning, or Artificial Intelligence. - Master's degree in Data Science, Machine Learning, Artificial Intelligence, or a Computer Science specialization in AI and Data Science/Machine Learning. - Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch. - Familiarity with MLOps tools like Docker, Kubernetes, MLflow, and cloud ML services such as AWS SageMaker, GCP AI Platform, or Azure ML. - Strong presentation and mentoring skills in live and small-group settings. - Prior experience in teaching or educational technology would be advantageous.,