Lead AI Engineer
HumanaFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must possess a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field, along with a minimum of 5 years of experience in AI/ML, predictive modeling, and statistical analysis. Strong proficiency in Python, SQL, and experience with cloud platforms such as Azure, AWS, or GCP are required, as well as familiarity with machine learning frameworks like TensorFlow, Scikit-Learn, PyTorch, or XGBoost. Exposure to financial data modeling and analytics is also necessary.
As a Senior AI/Data Science Engineer, you will develop and deploy AI/ML models for forecasting, anomaly detection, and optimization in financial and business analytics, working closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. You will collaborate with Data Engineers to build scalable data pipelines, perform exploratory data analysis (EDA) and statistical modeling, optimize algorithms for performance, and present complex findings to senior stakeholders, continuously exploring new AI/ML methodologies and tools to improve analytical capabilities.
Develops and manufactures medical devices and therapies
Medtronic provides medical technology, services, and solutions to improve patient care. The company develops a variety of medical devices, including pacemakers, insulin pumps, surgical tools, and neurostimulation devices, which help diagnose, prevent, and treat chronic diseases. These products are used by hospitals, clinics, and healthcare professionals around the world. Medtronic stands out from competitors by investing significantly in research and development to create new products and offering additional services like training and patient management programs. The goal of Medtronic is to enhance patient outcomes and lower healthcare costs through its comprehensive range of medical solutions.