Machine Learning Engineer
2 weeks ago
Overview At Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting‑edge AI and autonomous systems. We believe that the best solutions are built together, and we are looking for a key member to join our collaborative R&D team. About The Role Autonomous Healthcare is looking for a skilled Machine Learning Engineerto join our data science team. This role is focused on diving deep into complex datasets to uncover hidden patterns and build predictive models related to pharmacy data. You will be a key player in developing and deploying solutions that directly impact our business, with a special emphasis on analyzing unlabeled data to detect critical anomalies. If you love solving challenging puzzles with data and seeing your models come to life in a production environment, we want to hear from you. Key Responsibilities Design, develop, and train machine learning models to solve complex business problems. Perform in-depth data analysis and feature engineering on large, complex datasets, with a strong focus onunlabeled datato identify and investigateanomalies. UtilizePython and key libraries (such asPandas, NumPy, and Scikit-learn) for data manipulation, analysis, and model building. Manage the end-to-end machine learning lifecycle, from data sourcing and model validation to deployment. Deploy and maintain scalable machine learning models in production onAWS (e.g., using SageMaker, Lambda, ECS/EKS). Collaborate with data engineers, software developers, and product managers to integrate ML models into our applications and systems. Monitor model performance, identify drift, and iterate on models to improve accuracy and efficiency. Required Qualifications Proven professional experience as a Machine Learning Engineer or Data Scientist. Strong programming skills inPython and extensive experience with data science/analytics libraries, especiallyPandas. Demonstrable experience inanalyzing unlabeled data and building models foranomaly detection (e.g., using clustering, isolation forests, autoencoders, or other techniques). Practical familiarity withdeploying machine learning models on AWS cloud infrastructure (e.g., AWS SageMaker, S3, Lambda). Solid understanding of core machine learning concepts, algorithms, and best practices including unsupervised learning and reinforcement learning frameworks. Excellent analytical and problem‑solving skills. Preferred Qualifications (A Plus) Familiarity withdiscrete event system simulation principles or tools. Experience with other MLOps tools and cloud services. A degree in Computer Science, Data Science, Statistics, or a related quantitative field. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Engineering and Information Technology Industries Hospitals and Health Care #J-18808-Ljbffr
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Machine Learning Engineer
1 week ago
Santa Clara, California, United States Autonomous Healthcare Full time $120,000 - $180,000 per yearAbout Autonomous HealthcareAt Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting-edge AI and autonomous systems. We believe that the best solutions are built together, and...
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Machine Learning Engineer
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Santa Clara, CA, United States Ikuto Full timeMachine Learning Engineer - Applied AI SystemsSan Francisco, CA - On-site$170k-$250k + equityA venture-backed AI company is expanding its engineering group and looking for a Machine Learning Engineer to help push forward a new generation of decision-support products used in complex, data-heavy environments.The team builds systems that analyse large,...
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Santa Clara, United States Mintegral Full timeAbout UsMintegral is a leading programmatic and interactive mobile advertising platform, starting from the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients...
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Sr. Machine Learning Engineer
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Sr. Machine Learning Engineer
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Santa Clara, United States CalTek Staffing, Inc. Full timeOverview Our client, an industry leader in AI-driven software solutions, is seeking an experienced AI / Machine Learning Engineer to design, build, and deploy intelligent systems that power predictive analytics, natural language understanding, and generative AI applications. This role combines deep technical expertise in ML modeling and production deployment...
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Machine Learning Engineer
4 weeks ago
Santa Clara, United States Autonomous Healthcare Full timeAbout Autonomous HealthcareAt Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting-edge AI and autonomous systems. We believe that the best solutions are built together, and...
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Machine Learning Engineer
2 weeks ago
Santa Clara, United States Autonomous Healthcare Full timeAbout Autonomous Healthcare At Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting‑edge AI and autonomous systems. We believe that the best solutions are built together,...
