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AMBULA

Data Cleaning Intern

Join AMBULA as a Data Cleaning Intern in Bhubaneswar, Odisha (Hybrid) to help curate, clean, and preprocess large datasets for AI/ML pipelines using Python and Pandas.

Bhubaneswar, OdishaHybridInternshipEntry levelAI/ML0–1 yearsStipend based on industry standards

About this role

Compensation

Stipend based on industry standards

What you'll do

  • Write robust Python scripts using Pandas and Regex to clean, transform, and normalize unstructured data.
  • Perform exploratory data analysis to identify anomalies, duplicates, and missing values.
  • Collaborate with the AI/ML team to prepare datasets for model training and fine-tuning on Hugging Face.
  • Manage version control of datasets and scripts using Git in a Linux environment.

What we're looking for

  • Basic experience with Python programming, Pandas, and Regular Expressions (Regex).
  • Familiarity with Linux command line tools and Git version control.
  • Understanding of machine learning data pipelines and Hugging Face datasets is a plus.
  • Currently pursuing or recent graduate in Computer Science, Data Science, or a related field.

Skills

Required

PythonPandasRegexGitLinux

Preferred

Hugging FaceData PreprocessingNLP

Experience

0–1 years

Nice to have

  • Prior internship or project experience in data preprocessing or NLP.
  • Familiarity with cloud storage and data lakes.

Benefits

  • Hands-on experience with cutting-edge AI/ML workflows.
  • Mentorship from experienced data scientists and engineers.
  • Certificate of completion and potential for a full-time conversion.

How hiring works

Here's exactly what to expect after you apply. You'll see your status at every step — no guessing, no ghosting.

  1. 1

    Apply

    Share your profile, links, and answers to a few job-specific questions.

  2. 2

    Proof-of-work challenge

    Build a real project brief. Your submission is reviewed on working output.

  3. 3

    Technical interview

    Walk through your challenge submission with the hiring team.

  4. 4

    Offer

    Review terms, accept, and move into onboarding.