About the Opportunity We are looking for an experienced AI/ML Industry Mentor to coach and upskill learners in Odia . This role combines technical mentoring, project reviews, and interview preparation for learners building practical, industry-ready Machine Learning solutions. The ideal candidate will have hands-on AI/ML industry experience, strong communication skills, and the ability to simplify complex technical concepts and guide learners effectively. Role & Responsibilities Conduct live mentoring sessions and technical office hours in Odia , covering core AI/ML concepts, frameworks, and industry best practices. Review learners' code, notebooks, and capstone projects and provide actionable technical feedback. Guide learners on data preprocessing, feature engineering, model selection, training, evaluation, and deployment . Help learners debug Python and machine learning code and resolve technical challenges. Conduct technical assessments, mock interviews, and project reviews to prepare learners for AI/ML industry opportunities. Help learners understand real-world AI/ML engineering practices and production considerations. Share practical industry use cases and best practices in AI/ML. Collaborate with curriculum and product teams to improve course content and practical assignments. Track learner progress and identify challenges that require additional support. Skills & Qualifications Must-Have 2+ years of hands-on experience in Artificial Intelligence / Machine Learning. Strong Python programming skills. Experience with PyTorch or TensorFlow . Strong understanding of Scikit-learn and ML model evaluation . Good understanding of data preprocessing, feature engineering, supervised and unsupervised learning, and model evaluation. Practical experience working on AI/ML projects and deployment . Prior experience in mentoring, teaching, training, or technical coaching . Strong Odia communication skills — verbal and written. Ability to explain complex AI/ML concepts in a simple and practical manner . Preferred Familiarity with MLOps and Docker-based workflows . Experience working on NLP or Computer Vision projects. Experience conducting technical interviews. Experience reviewing ML resumes, projects, or portfolios. Experience with cloud platforms and ML deployment . Industry experience building and deploying production-level ML solutions . Engagement & Benefits Part-time, flexible engagement designed for working professionals. Remote opportunity across India . Opportunity to mentor and impact job-ready AI/ML learners . Opportunity to contribute to curriculum and practical learning experiences. Competitive mentor compensation. Collaborative environment with experienced instructors and industry professionals.