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We are seeking a Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other deep learning models.
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The Machine Learning Engineer is part of the Network Operation Center (NOC) Team that delivers KORE’s Energy Management solutions to optimize and automate the use of Battery Energy Storage Systems.
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This role will contribute to the development and application of Arc’s frontier DNA foundation model (Evo), Arc’s Virtual Cell Initiative focusing on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute-wide machine learning efforts.
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We are looking for someone who has experience as a machine learning engineer and as a software engineer, as we operate at the intersection of those two roles. We are looking for an experienced engineer to join MLF. While your initial focus will be building self-service tooling for feature engineering, you will also work across the entire machine learning lifecycle.
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Algorithms, Artificial Intelligence Markup Language, Business Model Development, Data Analytics, Data Science, Deep Learning, Digital Literacy, Learning Agility, Machine Learning, Neural Networks, Predictive Analytics, Predictive Modeling, Results-Oriented.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing, feature engineering, model training, evaluation at scale in production on GCP ensuring data quality, integrity, and security.
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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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About the Organization: Collins Machine Works has solved the largest and most complex industrial machining and fabrication challenges for clients around the globe. Sign On Bonus Collins Machine Works offers a sign-on bonus in the amount of $2,000 to be paid after six months of satisfactory employment performance.
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Knowledge of the career paths in quantitative finance, data science, machine learning, and financial technology. Programming may be in areas such as DeFi, machine learning, data science, ESG, coding, on the technical side.
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex technologies (e.g., robotics; kinematics; structural engineering pertaining to complex dynamic systems; machine design; automated manufacturing machines, equipment, and related control systems; mechatronics; application of state-of-the-art machine learning (ML) and artificial intelligence (AI); optical systems, etc.
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Position currently reports to the Machine Shop Supervisor along with the C.N.C Machinists, Production Machinists, General Machinists, Machine Operators, Tool Room Attendants, and Under filers.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
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Utilize techniques such as Six Sigma, Applied and Advanced Statistics, Predictive/Proactive Analysis & Tools, RCM, FMEA, FEMECA, WCM Advanced Tools, Weibull Analysis, Analytics tools, artificial intelligence, neural networks, and machine learning for innovation.
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machine learning jobs Title: travel rn Company: Medical Solutions in NJ, France
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