AI/ML Intern, Document Intelligence

Drips.com; India; On-site; INR 167,400 - 334,800; Full time

Benefits offered by this job

Professional development opportunities

Work-life balance with a 5-day work week

Culture that values teamwork and humility

Job summary

Drips.com in Chennai is looking for an AI/ML Intern to join their dynamic team. As an intern, you will build and evaluate machine learning models for extracting structured data from pharmaceutical documents, develop OCR/OMR pipelines, and support data preparation tasks. Ideal candidates will be pursuing or have recently completed a degree in computer science, AI/ML, or a related field and possess solid Python skills. Join us for a rewarding experience in a growing workplace focused on ethical values and professional development.

Qualifications

• Individuals must have solid Python skills and familiarity with at least one ML framework.
• Experience in NLP, computer vision, or document processing is required.
• Candidates should be comfortable asking questions and learning from feedback.

Responsibilities

• Build and evaluate ML models for extracting structured data.
• Develop OCR/OMR pipelines and experiment with text extraction.
• Support data preparation, including cleaning and annotation.

Skills

Python

Machine Learning frameworks (PyTorch or TensorFlow)

NLP

Computer Vision

Curiosity about LLMs

Education

Pursuing or recently completed degree in CS, AI/ML, or related field

Tools

OCR tools (Tesseract, PaddleOCR, EasyOCR)

Job description

AI/ML Intern, Document Intelligence

Smart Data Solutions, a leading provider of data management, claim routing and workflow solutions to health plans and TPAs, is looking for an AI/ML Intern, Document Intelligence to join our team!

What you’ll be doing?

• Build and evaluate ML models for extracting structured data from pharma documents (clinical forms, prescriptions, regulatory filings)
• Develop OCR/OMR pipelines and experiment with text extraction techniques
• Explore LLM integration using LangChain-prompt design, retrieval-augmented generation, evaluation
• Support data preparation: cleaning, annotation, and labelling for NLP datasets
• Write clean Python code; contribute to shared codebases with guidance from senior engineers

What we’re looking for?

• Individuals pursuing or recently completed a degree in CS, AI/ML, or related field
• Solid Python skills; familiarity with at least one ML framework (PyTorch, TensorFlow, or Hugging Face Transformers)
• Coursework or project experience in NLP, computer vision, or document processing
• Curiosity about LLMs and how they're applied in real systems
• Comfortable asking questions and learning from feedback

Nice-to-have skills

• Exposure to OCR tools (Tesseract, PaddleOCR, EasyOCR)
• Interest in healthcare/biomedical AI applications
• Any experience with LangChain, vector databases, or prompt engineering

Why this is the company for you?

Top Benefits & Perks:

• A company culture that is authentic and values teamwork, humility, and fairness! We work hard for our customers and have fun along the way!
• A professional development and growth-oriented workplace.
• Work-life balance with a 5-day work week.

Location

Millenia Business Park II, Perungudi, Chennai.

Who is Smart Data Solutions?

Smart Data Solutions (SDS) is a technology leader in healthcare process automation and interoperability. As a strategic partner, SDS helps clients digitally transform their operations, delivering tangible value through reduced costs, streamlined workflows, and an improved customer experience. With data, AI, and automation at its core, SDS provides solutions in Digital Mailroom and Data Capture, Clearinghouse, Intelligent Medical Records, Prior Authorization and Claim Operations. Trusted by over 500 clients—including multiple Blue Cross Blue Shield plans, regional health plans, TPAs, providers, and healthcare partners—SDS streamlines complex front, middle, and back-office operations.

Smart Data Solutions is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.