We are seeking an experienced Machine Learning Engineer to leverage our Big data and train and deploy binary classification models for predicting a list of medical conditions. The goal is to provide valuable insights and early warnings to healthcare professionals, potentially saving lives and improving patient outcomes.
We have already the data prepared and cleaned in a structured format, and a pipeline that is ready.
Key Responsibilities:
Develop and implement machine learning models and pipelines for predictive modeling of medical conditions.
Train and fine-tune models using our rich dataset containing medical history, treatments, medications, and other relevant data.
Design algorithms to predict medical conditions occurring within specific timeframes.
Collaborate with cross-functional teams to ensure the seamless integration of machine learning models into our healthcare systems.
Optimize model performance to meet critical performance metrics.
Interpret and communicate model results to both technical and non-technical stakeholders.
Qualifications:
Proven experience in developing and deploying machine learning models, preferably in the healthcare domain.
Proficiency in programming languages such as Python and libraries like XGBOOST, Time-series, LGBM, etc.
Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Exceptional communication skills and the ability to convey complex technical concepts to diverse audiences.
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