Industry Mentor – AI/ML | Odia | Part-Time

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.