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

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

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

About the Opportunity

We are seeking an experienced AI/ML Industry Mentor to coach and upskill learners in Malayalam. 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

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

  
  


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

  
  


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

  
  


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

  
  


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

  
  


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

  
  

Skills & Qualifications

Must-Have

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  Proven experience using Python for ML workflows

  
  


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  Hands-on experience with PyTorch or TensorFlow

  
  


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  Practical knowledge of Scikit-learn and model evaluation techniques

  
  


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  Experience with model deployment and production considerations

  
  


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  Prior mentoring, teaching, or technical coaching experience

  
  


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  Instructional fluency in Malayalam (verbal & written)

  
  

Preferred

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  Familiarity with MLOps practices and Docker-based workflows

  
  


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  Experience with NLP or Computer Vision project delivery

  
  


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