AI Developer Intern

AI Developer Intern

Stipend:

Duration:

Eligibility:

Responsibilities:

• Work with advanced Python concepts including decorators, descriptors, context managers, and async programming.
• Implement and optimize custom data structures and algorithms (e.g., LRU cache, Trie).
• Assist in multithreading and multiprocessing challenges, especially around performance tuning for CPU-bound and I/O-bound tasks.
• Solve real-world coding puzzles and memory management scenarios to improve code efficiency and readability.
• Participate in designing and developing scalable plugin architectures and modular components.
• Implement cutting-edge AI and ML algorithms/models in collaboration with the R&D team.
• Stay updated with the latest AI/ML advancements and apply them to real-world problems.
• Work with built-in modules like copy, functools, queue, collections, etc.
• Assist in Natural Language Model (NLM) and Language Understanding System (LUS) development.
• Write clean, testable, and well-documented Python code adhering to software engineering best practices.
• Collaborate across teams to deliver AI-driven solutions aligning with project objectives.

Qualifications:

• Pursuing or recently obtained a Bachelor's in Computer Science, AI, ML, or related field.
• Availability for a full-time 6-month internship.
• Prior hands-on exposure to advanced Python programming (not just academic exposure).
• Strong understanding of programming concepts, data structures, and algorithms.
• Strong grasp of AI/ML concepts, algorithms, and techniques.
• Strong hold on Data Structure and algorithm design.
• Familiarity with

  LLM frameworks

  such as LangChain or CrewAI.
• Knowledge of

  data extraction techniques and web crawling

  .
• Practical experience with AI/ML models, including research paper contributions.
• Exceptional analytical and problem-solving skills.
• Excellent written and verbal communication.
• Bonus: Demonstrated research and publication record.
• Bonus: Experience in building/fine-tuning Language Understanding Models (LLMs).

Other Infrastructure Requirements

Since this is a completely work-from-home position, you will also require the following -

● High-speed internet connectivity for video calls and efficient work.

● Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM, and

no other obstacles to interrupted, efficient work).

● Headphones with clear audio quality.

● Stable power connection and backups in case of internet/power failure.