Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Data Science, Engineering, or similar with an emphasis in artificial intelligence and machine learning.
• Minimum 5 years of relevant industry experience, in Software Engineering, Data Engineering or Big Data
• Software development experience, ideally in Python, PySpark, Java, C#
• Knowledge of or direct experience with Databricks and/or Spark and with Azure
• Practical Knowledge of Linux
• A willingness to learn new software development languages to meet goals and objectives.
• Self-motivated with ability to collaborate across multiple disciplines (e.g., electrical, software, systems) to meet program milestones.
• Basic experience in exploratory data analysis and visualization.
• Experience in preparation and manipulation of training and validation datasets, including data structuring, normalization, augmentation, and synthetic methods.
• Understanding of conventional statistical methods and techniques.
• Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources
• Knowledge of data cleaning, wrangling, visualization and reporting
• Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience
• Familiarity of databases, BI applications, data quality and performance tuning

PREFERRED QUALIFICATIONS

• Database creation/usage experience to manage, store and query multimodal datasets (e.g,. PostgreSQL, Mongo, etc.)
• Proficiency in common AI/ML programming languages (at least one of): Python (preferred), R, Julia, or MATLAB.
• Proficiency with common libraries used for numeric manipulation and machine learning such as Numpy, Pandas, Scikit-Learn, Tensorflow, Keras, etc.
• Master’s or PhD with an emphasis on multimodal machine learning.
• Hands-on experience with a variety of supervised, semi-supervised and unsupervised machine learning methods.
• Experience in transferring trained models to a production cloud environment, e.g., API implementation, containerization.
• Familiarity with ISO 13485, 14971, etc.
• Experience in compiling and optimization techniques (e.g., quantization, pruning, compression) to deploy models on edge devices
• Experience in model life cycle management within an distributed HPC environment such as Azure Databricks.
• Experienced in the sequential phases of the medical device development from early feasibility and VOC through development, test, commercial launch, and post-market support.
• Experience in first-in-human and pivotal clinical trials.
• Experience and/or familiarity with cardiac anatomy and interventional cardiology.
• Excellent written, verbal and listening communication skills
• Comfortable working asynchronously with a distributed team
• Ability to work within a team and as an individual contributor in a fast-paced, changing environment.
• Ability to work in a highly matrixed and geographically diverse business environment.
• Ability to leverage and/or engage others to accomplish projects.
• Strong analytical, problem solving skills.
• Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization.
• Multitasks, prioritizes and meets deadlines in timely manner.
• Strong organizational and follow-up skills, as well as attention to detail.

Please refer the Job description for details