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We are seeking a highly skilled Machine Learning Engineer to contribute to diverse healthcare and in-house data initiatives—ranging from complex data analysis and strategic insights to predictive modeling and real-time implementations. You will work closely with cross-functional teams to deliver high-quality, data-driven solutions that drive business impact.
About the Role- Develop, implement, and optimize machine learning models for healthcare and internal projects.
- Conduct feature engineering to improve model performance.
- Deliver real-time model predictions and ensure their smooth integration into production systems.
- Collaborate with data scientists, analysts, and product teams to understand requirements and translate them into technical solutions.
- Apply statistical techniques and data analysis to derive insights and recommendations.
- Work with Large Language Models (LLMs), deep learning architectures, and vector databases where applicable.
- Ensure scalability, efficiency, and reliability of deployed models.
- 1–3 years total professional experience in data or software engineering roles.
- 6–12 months hands-on experience in AI/ML model development and deployment.
- Strong proficiency in Python (mandatory).
- Solid understanding of statistics and its application in data modeling.
- Knowledge of LLMs, deep learning models, and vector databases.
- Experience with feature engineering and implementing real-time predictions.
