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SuperKalam is hiring for a AI/ML Research Intern


Position:

AI/ML Research Intern

Company:

SuperKalam

Location:

India / Remote (IN)

Job Type:

Internship

Job Mode:

Full-Time

Job Requisition ID:

Not Provided

Years of Experience:

Prior Internship or Quality Projects in AI/ML


Company Description

  • Mission: Empowering UPSC aspirants with personalized learning experiences.
  • Vision: Utilizing AI/ML to enhance discipline and mentorship in education.
  • Founded by: Aseem Gupta.
  • Size: Small, with 11-50 employees.
  • Reputation: Supported by YC W23, indicating strong growth potential.
  • Followership: 2,097 followers on LinkedIn.
  • Innovation: First personal mentor and discipline-inducing learning ecosystem in India.

Profile Overview

  • Role: AI/ML Research Intern.
  • Duration: 3-6 months.
  • Compensation: ₹28K - ₹40K INR per month.
  • Application Process: Apply via the provided form link.
  • Interaction: Direct connection with founders of leading YC-funded startups.
  • Flexibility: Full-time internship with adjustable timings to accommodate academic commitments.
  • Contribution: High availability required for meaningful impact.
  • Key Requirement: Strong communication, ownership, and agility.

Qualifications

  • Experience: Prior internship or significant projects in AI/ML.
  • Technical Skills:
    • Languages: Python/NodeJS.
    • Technologies: LLMs, RAG, vector DBs.
    • Software Engineering: Relational databases, rate limiting, security basics.
    • Tools: GitHub, Colab.
  • Responsibilities:
    • Conducting AI experiments and fine-tuning models.
    • Implementing research approaches.
    • Staying updated with technological advancements (e.g., Hugging Face, new training techniques, models, tooling).

Additional Info

  • Communication: Smooth and efficient communication is essential.
  • Ownership: High sense of responsibility and ownership is crucial.
  • Agility: Adaptability and quick response to changes are necessary.
  • Interview Process:
    • Step 1: Introductory call (15 minutes) to discuss projects and experience.
    • Step 2: Assignment (3-4 days) to evaluate scientific approach and problem-solving skills, followed by a feedback discussion (25-40 minutes).
    • Step 3: Face-to-face technical round (1 hour) focusing on ML and software engineering. This round may be optional based on assignment performance.
    • Final Round: Discussion to finalize the selection process.

Please click here to apply.

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