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

• Deliver live mentoring sessions and technical office hours in Malayalam, 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 Malayalam (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