The ML/AI Engineer role is responsible for supporting research and development of global analytics, data science, and AI initiatives, according to the team’s data analytics strategy. Working with the Manager, Analytics Technologies, you will leverage cloud technologies and develop models that will drive the next phase of the team's technologies. You will collaborate with Data Scientists in the Analytics COE, R&D, and clinical experts to develop next generation artificial pancreas systems to make a meaningful impact on patients’ lives. Using machine learning and pattern recognition techniques in time series data, you will develop algorithms to recommend individualized optimal behaviors and pump parameters, to directly impact clinical outcome for our patients. We are a fast growing company that provides an energetic work environment, and tremendous career growth opportunities.

• Leverage cloud and GPU computing technologies for automated machine learning and analytics pipelines, such as Azure, AWS, GCP, etc.
• Leverage parallel processing to ingest large sets of data as training and test sets for machine learning models.
• Develop custom feature extraction algorithms, and dimensionality reduction to increase class separability.
• Explore data patterns using existing data science tools and self-created programs.
• Work with Data Scientists to perform statistical analysis and predictive modeling.
• Develop and implement algorithms for insulin pump therapy optimization, and next generation artificial pancreas insulin control.
• Clearly communicate findings to a broad audience, in relation to business objectives.
• Performs other duties as required.

Education and Experience:

• Postgraduate degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field is required.
• At least 2 years of work experience in machine learning, artificial intelligence, or statistical inferences.
• Experiences in medical device or healthcare industries is desirable.

Skills/Competencies:

• Goal-driven mentality
• Experience in Python, and parallel processing languages such as Spark/PySpark, Hadoop (nice to have).
• Experience in cloud-based tools, such as Databricks, Microsoft Azure, and AWS.
• Experience in building and training neural networks on GPU using Tensorflow or Keras (AI Models)
• Knowledge of diabetes pathophysiology, insulin signaling, and/or human physiology is desirable.
• Ability to work independently without detailed guidance, while maintaining effective communications with leaders and stakeholders.
• Ability to communicate effectively and document objectives and procedures.