AI/ML Engineering Intern


About Us:

We help companies hire and manage a global team. Through Gloroots, employers can seamlessly discover and onboard global employees and contractors, pay them in local and global currencies, and provide them with best-in-class benefits, while adhering to local compliances and regulations. Gloroots was founded in 2021 and is headquartered in San Francisco.

Our product suite/roadmap includes:

  • Employer of Record (EoR) platform: allows employers to onboard, manage, payout salaries, and provide benefits to employees globally.
  • Contractor management platform: for companies to seamlessly onboard, manage, and pay cross-border contractors.
  • Global remote jobs platform: LinkedIn/Wellfound for Global Remote-only Jobs

Role Overview:

As an AI/ML Engineering Intern at Gloroots, you will be contributing to the development of our AI-driven remote job marketplace. This role involves building and improving core components such as JD parsers, resume parsers, job recommendation engines for candidates, and candidate recommendation engines for jobs, etc.

Key Responsibilities:

  • Develop and refine components of job and resume parsers using LLMs and NLP techniques.
  • Develop recommendation algorithms/engines to find ideal jobs for candidates & vice versa.
  • Collaborate with cross-functional teams to integrate AI/ML components into the product.
  • Research, experiment, and iterate to build and improve AI/ML/LLM models.
  • Develop production APIs to deploy your AI/ML models in Python (Flask/Django/FastAPI).
  • Participate in the full software development life cycle, from design to deployment.

Required Skills:

  • High attention to detail and a growth mindset.
  • Solid understanding of Natural Language Processing (NLP) & Large Language Models (LLMs).
  • Experience with recommendation engine algorithms and systems is a plus.
  • Hands-on with machine learning frameworks, libraries, LLM models (GPT4, llama 2, etc.)
  • Experience with LLM Prompt Engineering and fine-tuning LLMs is a plus.
  • Proficiency in Python programming and experience with Flask/Django/FastAPI.
  • Strong analytical and problem-solving skills with the ability to think from first principles.

Educational Qualifications:

Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field.

  • Duration: 6 months
  • Stipend: 25,000 INR per month.
  • Location: Remote or Hybrid(Bangalore)

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