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We are looking for a dedicated Learning and Development Manager to help continue building on our culture of excellence and support our employees' careers throughout their life cycle. Reporting to our Director of People Operations, you will be the go-to person for all professional development discussions and resources, own our suite of L&D initiatives end-to-end, and ensure that all employees receive necessary training and development opportunities to excel in their roles, and that our team members never stop learning and growing.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
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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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Prior research experience to one or more of the following areas: Electromagnetics and antenna technology (simulation tools such as CST and HFSS, characterization techniques) Radio-frequency systems (wireless communication, radars, SDRs) Signal processing and machine learning (DSP, wireless perception algorithms.
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Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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5+ years of experience in machine learning engineering, data science, or a related field. Your responsibilities will include collaborating closely with product teams, contributing your expertise in machine learning technologies, and leveraging your full-stack capabilities to support the implementation of frontend components using React.
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The Learning & Development Specialist delivers recovery and trauma-informed courses to MHP Staff, program participants, provider agencies and employers, and other community members, including but not limited to the MHP Certification programs (Certified Peer Specialist (CPS) and CPS Supervisor (S-CPS), the WRAP series (Seminar I and II), continuing education courses, and professional development courses.
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Assist in the deployment of machine learning models into production environments, implementing monitoring and logging mechanisms for performance tracking. Collaborate with frontend developers to support the implementation of responsive and user-friendly web interfaces using React, integrating machine learning capabilities seamlessly into frontend applications.
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Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster Relief.
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Bachelor's degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred. Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
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Knowledge of machine learning algorithms, statistical modeling, and data structures. Assist in the development and optimization of machine learning algorithms and models, providing guidance on best practices and methodologies.
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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
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Deliver high-quality code components to power services, servers, distributed systems, and backend architecturePartner with industry-leading Engineers, Artists, Producers and DesignersIncorporate the AI, machine learning, and Computer vision capabilities into solutions and services.
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Currently funded SNAC projects examine the impact of peer learning collaboratives and financial incentives on practice transformation and the impact of a central, digital registry for advance directives.
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Experience in object detection and computer vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, and RetinaNetExperience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C. As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML.
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