Machine Learning Engineer (Healthcare Domain)

Overview

Machine Learning Engineer (Healthcare Domain) Location: Remote Experience: 3-4+ years Job Type: Full-Time About the Role: We are seeking a talented Machine Learning Engineer with a strong background in the healthcare industry to join our growing team. You will design and deploy ML models that enhance diagnostics, predictive analytics, and patient care outcomes. Key Responsibilities: • Design and implement machine learning models to solve healthcare-specific problems. • Collaborate with data scientists, product managers, and healthcare experts to identify business use cases. • Work with structured and unstructured healthcare datasets (EHR, claims, imaging, etc.). • Develop scalable machine learning pipelines and integrate them into production systems. • Continuously monitor model performance and update models based on feedback and data drift. Requirements: • 3+ years of experience in machine learning and data science. • Strong experience with Python, TensorFlow, PyTorch, Scikit-learn, etc. • Solid understanding of ML algorithms including regression, classification, clustering, NLP, and deep learning. • Familiarity with healthcare data formats and standards (HL7, FHIR, ICD codes, etc.). • Hands-on experience with deploying models in production (Docker, Kubernetes, REST APIs). Nice to Have: • Experience with HIPAA-compliant systems. • Experience in computer vision or medical imaging. • MLOps knowledge for managing ML lifecycle.

Job Types: Full-time, Permanent

Pay: ₹11,723.84 - ₹2,063,445.12 per year

Schedule:

• Day shift
• Monday to Friday

Work Location: Remote