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8-10 years of experience working as a Software Engineer, DevOps Engineer, MLOps Engineer, or Machine Learning Engineer within a production ecosystem. We are seeking a dedicated Machine Learning Engineer with a passion for data science, to lead and manage our critical Machine Learning and Artificial Intelligence Platform.
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Databricks Machine Learning Associate or Machine Learning Professional Certification. Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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FL97 is seeking experienced, creative, and talented Machine Learning Researchers (LLMs) across Scientist, Senior Scientist, and Principal Scientist levels to join our team. The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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To do this, you must interface directly with machine shops, sheet metal fabrication shops, internal staff members and management, as well as customers. Knowledge of all CNC machining and/or sheet metal fabrication practices for both high and low volume runs required including but not limited to: 3/4/5 axis milling.
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Our laboratory applies computational and machine learning methods to investigate the impact of seizures and abnormal brain activity on outcomes in pigs with cortical impact. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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The purpose of the study is the Integration of machine learning and genomics to predict outcomes for newly diagnosed, relapsed and refractory mature T-cell and NK-cell neoplasms: a global study of the PETAL Consortium.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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Creating, optimizing, and maintaining the SMT programs for the Pick & Place Machines, Soldering Paste Printers, Automatic Optical Inspection Machine, Automatic Solder Paste Inspection Machine, and Reflow Ovens.
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Familiarity with patent prosecution in electrical engineering, software-related technologies, data science/AI, networking technologies, machine learning/artificial intelligence, and hardware security is preferred.
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What you’ll do Optimize machine learning model implementations and inference times Work with TFLite, SNPE, or other embedded deep learning libraries. Knowledge of building and deploying machine learning train and test pipelines a plus.
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Experience with a wide range of AI techniques, including machine learning, deep learning, natural language processing, and computer vision. Advanced degree (PhD or MS) in Computer Science, AI, Machine Learning, or a related field.
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Our founding team holds multiple machine learning patents and brings experience from Facebook, LinkedIn, Rakuten, and Microsoft. Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems.
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machine job Company: Apple Inc in Cambridge, MA
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