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CANKADO  India (P) Ltd

GROUND FLOOR, AMSTOR HOUSE, TECHNOPARK CAMPUS, TRIVANDRUM , 695581

Python Developer & Data Annotation Specialist - Healthcare AI

Closing Date:31,Oct 2025
Job Published: 09,Oct 2025
Contact Email: career@cankado.in

Brief Description

We are an AI-driven healthcare technology company building intelligent systems that transform medical data into actionable insights. Our mission is to enhance patient outcomes, clinical decision-making, and diagnostic accuracy through the responsible use of artificial intelligence.

We’re looking for a motivated Python Developer & Data Annotation Specialist to help us develop, label, and optimize datasets used for medical AI models. You’ll work closely with data scientists, machine learning engineers, and clinical experts to ensure that our models are built on accurate, well-structured, and ethically managed data.

Key Responsibilities

  • Develop and maintain Python scripts for data cleaning, preprocessing, and labeling automation.

  • Perform data annotation on medical datasets (e.g., text, imaging, or sensor data) following strict clinical guidelines.

  • Collaborate with ML and clinical teams to ensure labeling quality and consistency.

  • Build or customize annotation tools and dashboards to improve labeling efficiency.

  • Implement QA and validation pipelines for annotated data.

  • Write efficient, modular Python code for ETL and dataset versioning workflows.

  • Document processes and contribute to the continuous improvement of healthcare AI data practices.

Preferred Skills

Required Skills & Qualifications:

  • Background in biomedical informatics, data science with a minimum 2 to 3 years experience.
  • Strong command of Python (Pandas, NumPy, regex, JSON, CSV handling).

  • Experience with data annotation tools (Label Studio, CVAT, Labelbox, or custom solutions).

  • Understanding of medical data types (e.g., radiology images, EHR text, biomedical signals).

  • Knowledge of data quality assurance and ethical AI practices.

  • Ability to collaborate effectively in cross-functional teams.

  • Excellent attention to detail and documentation skills.

 

Nice to Have:

  • Familiarity with HIPAA compliance and medical data privacy standards.

  • Experience using FastAPI, Flask, or Django for data workflow automation.

  • Exposure to ML frameworks (TensorFlow, PyTorch, scikit-learn).

  • Prior work on NLP or imaging models for clinical applications.