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Johnson & JohnsonNYSE: JNJ: Develops and manufactures pharmaceutical drugs and medical devices.
8+ YOE8+ years ML engineering experience, BS/MS in ML/AI/CS/CE, strong Python and ML fundamentals, experience with TensorFlow/Keras/PyTorch/scikit-learn, cloud ML (AWS Sagemaker/Azure Studio), regulated medical device experience.
Johnson & JohnsonNYSE: JNJ: Provides pharmaceutical products and medical technology healthcare solutions.
8+ YOEBS/MS in related field, 8+ years ML engineering experience, strong Python and ML fundamentals, experience with TensorFlow/Keras/PyTorch/scikit-learn, cloud ML (AWS Sagemaker, Azure Studio), regulated environment experience, strong communication.
Johnson & JohnsonNYSE: JNJ: Global healthcare providing pharmaceuticals and medical technologies.
8+ YOE8+ years ML engineering experience, BS/MS in ML/AI/CS or related, strong Python and ML framework expertise, experience in regulated medical device/health environments, SDLC and regulatory documentation experience.
Chicago or Miami or New York City or Oakbrook Terrace or Nashville or South Bend or Tampa or Atlanta or Boston or Dallas or Houston or Grand Rapids or Austin or Charlotte or Indianapolis
$74k-$148k/yrOnsiteFull Time
Crowe: Global professional services firm providing audit, tax, and consulting.
4+ YOE4–6 years AI/ML engineering; strong Python, cloud, distributed systems; deep learning frameworks; VMs and containerization; experience with LLMs and vector databases; travel up to 80%
University of Notre Dame: Catholic research university providing higher education and academic research.
PhD by start date, strong skills in Python or R, data engineering and geospatial experience, harmonizing heterogeneous datasets, and experience applying ML/AI to environmental or socioeconomic data.
Python, R, APIs, large language models, natural language processing, AI, machine learning
University of Notre Dame: Private Catholic research university providing higher education and research.
Ph.D. in a computational field, expertise in quantitative data analysis, data engineering in Python/R, geospatial data, harmonizing heterogeneous datasets, and applying ML/AI for sustainability research.
Python, R, APIs, large language models, natural language processing, machine learning, AI
Charles River LaboratoriesNYSE: CRL: Provides research models and services for pharmaceutical drug development.
0+ YOEHS/GED and Associate of Science required (Bachelor's in biological science preferred). Certification (MLT/MT/MLS/ASCP/NCA/AMT) preferred; no prior experience required if certified. Competency in lab techniques, Microsoft Office, validated systems, and ability to work extended hours.