Abbott Laboratories
An excellent retirement savings plan with high employer contribution · Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
The Principal ML Engineer will work from our Chicago, Willis Tower office within the Medical Devices Digital Solutions organization. In this role, you will lead the technical execution of Abbott’s Medical Devices Digital (MDD) AI initiatives, bridging advanced algorithm research with scalable engineering solutions. You will be vital in developing and maintaining a robust AI development framework, establishing production-grade MLOps capabilities, and collaborating closely with data scientists, infrastructure specialists, and algorithm teams to ensure effective AI solution deployments.Main Responsibilities Required Qualifications Minimum 10 years with 10+ years of experience, Master’s Degree with 7+ years of related experience, or Ph.D. with 2+ years of related experienceExperience in building and deploying Machine Learning solutions using various ML algorithms and hands-on experience with Python programming Experience in building IT use cases / solutions especially around AI/ML cognitive services and platforms, Model productionization, and CICD Automation.Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuningExperience of senior executive/leadership engagement Experience with NLP/NLG, AI Conversational Agents & Other Generative AI, and Software development lifecycles Experience with Azure OpenAI, Azure Databricks, CloudDBs,Experience in reviewing and selecting Technical and Applications Architectures solutions Excellent oral, written and presentation communication skills Preferred team leadership experience and demonstrated mentorship capabilitiesPreferred Qualifications Medical Device experience Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products) is preferred.Experience with microservices architecture and distributed systems. Experience with FDA 510(k) submissions and clinical-grade ML product development.
Familiarity with data security best practices, data anonymization, synthetic data generation, and federated learning. #J-18808-Ljbffr
The Principal ML Engineer will work from our Chicago, Willis Tower office within the Medical Devices Digital Solutions organization. In this role, you will lead the technical execution of Abbott’s Medical Devices Digital (MDD) AI initiatives, bridging advanced algorithm research with scalable engineering solutions. You will be vital in developing and maintaining a robust AI development framework, establishing production-grade MLOps capabilities, and collaborating closely with data scientists, infrastructure specialists, and algorithm teams to ensure effective AI solution deployments.Main Responsibilities Required Qualifications Minimum 10 years with 10+ years of experience, Master’s Degree with 7+ years of related experience, or Ph.D. with 2+ years of related experienceExperience in building and deploying Machine Learning solutions using various ML algorithms and hands-on experience with Python programming Experience in building IT use cases / solutions especially around AI/ML cognitive services and platforms, Model productionization, and CICD Automation.Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuningExperience of senior executive/leadership engagement Experience with NLP/NLG, AI Conversational Agents & Other Generative AI, and Software development lifecycles Experience with Azure OpenAI, Azure Databricks, CloudDBs,Experience in reviewing and selecting Technical and Applications Architectures solutions Excellent oral, written and presentation communication skills Preferred team leadership experience and demonstrated mentorship capabilitiesPreferred Qualifications Medical Device experience Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products) is preferred.Experience with microservices architecture and distributed systems. Experience with FDA 510(k) submissions and clinical-grade ML product development.
Familiarity with data security best practices, data anonymization, synthetic data generation, and federated learning. #J-18808-Ljbffr