Senior Data Scientist

• Develop and deploy AI/ML models for healthcare solutions.
• Build end-to-end machine learning pipelines.
• Train, validate, and optimize ML models.
• Develop NLP, OCR, and LLM-based solutions.
• Monitor model performance and improve accuracy.
• Implement MLOps, CI/CD, and model versioning.
• Collaborate with data scientists and engineers.
• Build scalable data pipelines and feature stores.
• Write production-ready Python code.
• Document experiments and technical findings.

Overview

• Industry - STATISTICS / ANALYTICS / ACTURIAL SCIENCE / DATA MANAGEMENT FIRMS,
• Job Role - Machine Learning Engineer, Data Scientist
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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