Artificial Intelligence Intern - Remote

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

About the Company:

Abekus - a lean, fast-moving startup looking for AI interns who are curious, hands-on, and ready to apply AI in practical scenarios. You’ll work directly with the founding team and have a front-row seat to how real-world AI products are built.


Roles & Responsibilities:

  • Contribute to the development and fine-tuning of ML models using Python and PyTorch.
  • Experiment with modern LLMs and generative AI models to solve real product challenges.
  • Work with a variety of tools and frameworks like Transformers, LangChain, OpenAI API, LlamaIndex, and others for tasks such as classification, generation, and retrieval.
  • Help build and optimize training scripts, inference pipelines, and evaluation tools.
  • Conduct literature reviews or repo deep-dives to bring new ideas from the rapidly evolving AI ecosystem into production.
  • Assist in cleaning, preprocessing, and analyzing datasets.
  • Work closely with engineers and founders to prototype and test AI-powered features.


Skills & Qualifications:

  • Strong programming skills in Python.
  • Good understanding of machine learning fundamentals (loss functions, metrics, overfitting, etc.).
  • Some hands-on experience with deep learning libraries (e.g., PyTorch, TensorFlow).
  • Familiarity with modern NLP and generative AI tools such as Hugging Face Transformers, OpenAI, Claude, LLaMA, LangChain, or similar.
  • Awareness of ongoing trends in the AI/LLM space and eagerness to explore new tools and models.
  • Self-motivated and proactive mindset — you’re not afraid to explore, experiment, and learn on the go.
  • Bonus: You’ve worked on AI/ML side projects, GitHub repos, Kaggle competitions, or open-source contributions.


Benefits:

  • Mentorship and direct collaboration with the founding team.
  • Real-world experience applying AI to product use cases.
  • Ownership of small but impactful features and experiments.
  • A fully remote and async-friendly work culture.
  • Opportunity for long-term collaboration based on performance.


Note:

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