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Part Time - Industry Mentor - AI and ML (Kannada)

Job Description - Part Time - Industry Mentor - AI and ML (Kannada)

Primary Job Title: Part-Time AI/ML Industry Mentor


Location & Work Type: Remote (India) — Part-time, flexible hours; sessions and mentoring delivered in Kannada.


About the Opportunity


We are seeking an experienced AI/ML Industry Mentor to coach and upskill learners in Kannada. This role combines technical coaching, project review, and interview preparation for learners building production-ready ML solutions. Ideal mentors have practical industry experience, strong pedagogy instincts, and the ability to translate complex concepts into actionable guidance.


Role & Responsibilities




  • Deliver live mentoring sessions and technical office hours in Kannada, covering core ML topics, frameworks, and best practices.




  • Review learners' code, notebooks, and capstone projects; provide actionable feedback to improve model quality, reproducibility, and engineering hygiene.




  • Design and run technical assessments, mock interviews, and project checkpoints to prepare candidates for industry interviews and hiring processes.




  • Guide learners through model selection, feature engineering, training, evaluation, and deployment trade-offs for real-world use cases.




  • Collaborate with curriculum and product teams to refine course content, create practical assignments, and ensure alignment with hiring market needs.




  • Track learner progress, maintain mentorship logs, and escalate blockers to cohort managers to maximise graduation and placement outcomes.




Skills & Qualifications


Must-Have




  • Proven experience using Python for ML workflows




  • Hands-on experience with PyTorch or TensorFlow




  • Practical knowledge of Scikit-learn and model evaluation techniques




  • Experience with model deployment and production considerations




  • Prior mentoring, teaching, or technical coaching experience




  • Instructional fluency in Kannada (verbal & written)




Preferred




  • Familiarity with MLOps practices and Docker-based workflows




  • Experience with NLP or Computer Vision project delivery




  • Background in conducting technical interviews and resume/project reviews for ML roles




Benefits & Culture Highlights




  • Flexible, remote-first part-time engagement designed for working professionals.




  • Opportunity to shape curriculum and impact job-ready cohorts across India.




  • Competitive mentor compensation and a collaborative community of instructors



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Masai Sas

On a mission to make tech careers accessible to everyone, no matter their financial or educational backgrounds.

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