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

Key Facts

Remote From: 
Part time
English

Other Skills

  • โ€ข
    Mentorship
  • โ€ข
    Communication
  • โ€ข
    Time Management
  • โ€ข
    Teamwork
  • โ€ข
    Problem Solving

Roles & Responsibilities

  • Proven experience using Python for ML workflows
  • Hands-on experience with PyTorch or TensorFlow
  • Practical knowledge of Scikit-learn and model evaluation techniques
  • Instructional fluency in Kannada (verbal and written)

Requirements:

  • 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.

Job description

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

Location & Work Type: Remote (India) โ€” 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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