✦ Privara Labs ✦

INTERNSHIP INTAKE

Join the revolution in healthcare AI. Build cutting-edge solutions that transform how medical data is processed at scale.

01

ML Research Intern

Deep Learning • Healthcare AI • 3-6 months

Build cutting-edge AI models for healthcare document understanding and medical data processing at scale.

  • Develop deep learning models for document intelligence
  • Fine-tune pre-trained architectures on specialized datasets
  • Optimize model performance through experimentation
  • Implement state-of-the-art techniques from research papers
  • Python, PyTorch or TensorFlow
  • Deep Learning & Neural Networks
  • Computer Vision or NLP experience
  • Transfer Learning & Fine-tuning
  • Healthcare AI projects
  • Research paper implementation
  • Kaggle competitions
02

ML Engineer Intern

MLOps • Deployment • 3-6 months

Deploy ML models as scalable, production-ready systems that process healthcare documents at enterprise scale.

  • Build production ML pipelines and APIs
  • Optimize model inference speed & memory
  • Implement CI/CD workflows & monitoring
  • Deploy using Docker & cloud platforms
  • Python & software engineering principles
  • FastAPI or Flask
  • Docker & containerization
  • Git & version control
  • AWS/GCP/Azure cloud platforms
  • MLOps tools (MLflow, DVC)
  • Database systems (PostgreSQL, MongoDB)
03

Data Annotation & QA Intern

Quality Control • Medical Domain • 2-4 months

Build high-quality training datasets and ensure the reliability of our AI systems through rigorous quality assurance.

  • Annotate and label medical documents
  • Validate model predictions & identify errors
  • Perform QA testing on AI systems
  • Conduct data quality audits
  • Exceptional attention to detail
  • Strong organizational skills
  • Excel/Google Sheets proficiency
  • Basic ML understanding
  • Healthcare/medical background
  • Previous annotation experience
  • Medical terminology knowledge
04

Full-Stack Developer Intern

Web Development • Analytics UI • 3-6 months

Build beautiful, responsive web interfaces that bring our AI technology to life for healthcare professionals and researchers.

  • Develop responsive web applications
  • Create analytics dashboards & visualizations
  • Integrate ML APIs with frontend
  • Ensure security & HIPAA compliance
  • React, Vue, or Next.js
  • HTML5, CSS3, JavaScript/TypeScript
  • Node.js or Python backend
  • REST APIs & Databases
  • Data visualization libraries
  • Cloud deployment experience
  • Healthcare application experience