🛠 Tech Stack

💼 About This Role

You'll join a healthcare technology organization modernizing legacy platforms, focusing on building scalable data pipelines and ML infrastructure. You'll enable AI capabilities in modern healthcare applications. This role offers a chance to transform legacy systems into a cloud-native AI-enabled data platform.

🎯 What You'll Do

• Design and build scalable data pipelines for ML and AI applications
• Develop ML-ready data infrastructure for structured and unstructured healthcare datasets
• Implement data ingestion, transformation, and feature engineering pipelines
• Build services to expose ML models and AI capabilities to applications

📋 Requirements

• 5+ years experience in data engineering, ML infrastructure, or AI platform engineering
• Strong experience building data pipelines and distributed data systems
• Proficiency in Python for data processing and ML workflows
• Experience with cloud platforms (AWS, GCP, or Azure)

✨ Nice to Have

• Experience with healthcare data platforms or regulated environments
• Exposure to LLMs, NLP pipelines, or AI-driven applications
• Experience with feature stores, vector databases, or ML platforms