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As a Lab Technician, you will play a crucial role in creating high-quality orthodontic appliances using state-of-the-art 3D printing and computer-aided design (CAD) technology in our in-office laboratory.
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Industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in their technical domain area (e.g., NLP, CV, etc.
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As a Machine Learning Engineer at INflow Federal, you'll be at the heart of our mission to empower DoD customers with cutting-edge AI/ML solutions. Bachelors or Masters Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Develop and deploy machine learning models on GCP, leveraging tools such as AI Platform, TensorFlow, AutoML, and Vertex AI. Work closely with software engineers, data scientists, and business stakeholders to gather requirements and implement innovative solutions for data processing, analytics, and AI/ML projects.
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The Senior Google Looker Developer will collaborate with multiple teams to maintain and develop new features/functionality to support the business needs, with a strong emphasis on SQL, Python/R, machine learning, Snowflake, data and systems analysis skills, and integrating diverse data sources.
$130,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Provide SME support on AI capabilities; predictive analytics, data science, natural language processing (NLP), computer vision, process automation, voice-enabled technology, machine learning, and generative AI.
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Programming Languages: Python, R, or similar for AI and machine learning development. Serve as a trusted advisor to decision-makers, offering consultative insights on how the Nvidia DGX AI platform and machine learning can be applied to their biological data challenges.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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Experience designing and deploying cloud-native, enterprise-scale machine learning solutions in the AWS Cloud or with another major cloud provider. Amazon has been investing in Machine Learning for decades, and by joining AWS you’ll join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications.
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Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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As a machine learning engineer, you should demonstrate solid data science knowledge and experience. Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems.
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Databricks Data Engineer Professional and Databricks Machine Learning Professional certifications a plus. Experience developing Machine Learning models or ML Ops processes a plus. Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data.
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Experience in installation, configuration, and optimization of Machine Translation software - Systran, Language Weaver and MS Translator and OCR software - Tesseract and AWS Textract. Experience supporting users in bulk data processing with machine translation, speech to text and OCR tools to include parsing and normalizing data.
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Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W & B, TFLite, SNIPE, SHAP, UMAP, or ART. Process data and information at massive scale as an Artifi cia l Intelligence ( AI ) and Machine Learning ( ML ) Engineer with machine learning te chn ologies.
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