AI / ML Engineering Intern
OneRx
Ahmedabad, Gujarat, IndiaFresherJust nowvia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year · Diploma
- Must know
- Patient careLLMsPythonNumPyPandasscikit-learn
- Work
- On-site in Ahmedabad · internship
- Pay
- Not stated by the employer.
- Skill demand
- LLMs67%Python64%NumPy7%Patient care3%of 99 similar fresher jobs posted in India this week
- Listed
- 28 Oct 2026 · still open
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About the Role
- Work directly with our AI engineer on systems that process pharmacy documents (prescriptions, supplier invoices, claim responses, clinical notes) into trusted data.
- Learn how production AI is built, tested, and maintained in healthcare.
- Be prepared to maintain systems when the AI engineer is unavailable.
Key Responsibilities
- Build and label test sets of synthetic and de-identified documents with a pharmacist.
- Write evaluation scripts for accuracy per field, error categories, and weekly reports.
- Benchmark OCR and LLM approaches, comparing cost, speed, and accuracy.
- Curate reference data, including drug name variations, prescription directions, and document templates.
- Generate synthetic test documents, including edge cases.
- Write tests, fix bugs, and document system functionality.
- Cover routine monitoring and run-books with team support.
Requirements & Tech Stack
- Python
- NumPy
- pandas
- scikit-learn
- TensorFlow or PyTorch
- Git
Qualifications
- Foundational knowledge of machine learning concepts (e.g., supervised/unsupervised learning, model evaluation, feature engineering).
- Interest in applying machine learning to healthcare or pharmacy data.
- Experience with programming languages commonly used in AI/ML, such as Python.
- Familiarity with AI/ML libraries and frameworks.
- Basic understanding of data handling and analysis (data cleaning, preprocessing, exploratory data analysis).
- Exposure to SQL or other data query tools is an asset.
- Ability to write clear, maintainable code.
- Ability to follow version control practices (e.g., Git).
- Ability to work within collaborative development workflows.
- Strong analytical and problem-solving skills.
- Attention to detail.
- Capacity to learn quickly in a dynamic, remote environment.
- Effective written and verbal communication skills.
- Ability to work inclusively with cross-functional teams.
- Enrollment in or completion of a degree or diploma program in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
- Interest in healthcare technology, pharmacy operations, or data-driven platforms.
- Prior project or internship experience in healthcare technology, pharmacy operations, or data-driven platforms is beneficial but not required.