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As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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The team As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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Familiarity with recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning. PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. We are a growing subsidiary of a large public company that is hiring a talented Senior Machine Learning Engineer.
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A computational scientist, physicist, or engineer with experience in multiple scientific computing domains and experience with using Machine Learning techniques in an AI/HPC setting.
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We are seeking a Backend Engineer with a strong foundation in AWS, cloud service deployment, and machine learning (ML) model deployment, including large language models (LLMs). Proficiency in programming languages such as Python, Java, or Node.js, and experience with machine learning frameworks like PyTorch and TensorFlow.
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Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
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Customers deploy DCS solutions into applications ranging from Big Data capacity storage to artificial intelligence and machine learning that are helping to shape the next digital age.
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Are you a creative and autonomous engineer with a real passion for machine learning, computational chemistry, data science & parallel computing? Principal Graphics System Software Engineer.
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Python Data Engineering - Adapting standard machine learning methods to best exploit modern parallel environments: distributed clusters, multicore SMP, and GPU. Develop novel data mining techniques and algorithms to ensure the quality of the data as well as to maintain its secure storage and use at PayPal. Utilize data to address complex business requirements at PayPal, by applying data mining and machine learning algorithms to extract underlying patterns and business insights in the data.
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Leverage machine learning and data analytics with traditional FEA / CFD simulation methods to optimize the design and process recipes. Experience/coursework/research in machine learning, data science, and deep learning.
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Minimum of 15 years of Software Engineering experience to include serving in the capacity of Director/CTO/Chief/Principal Engineer position for AI Machine Learning / Deep Learning solutions applied across different industry verticals and different data modalities.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. Your work will be supported by massive data from our autonomous fleet to deliver the best autonomous driving solution.
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As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server.
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machine learning data jobs Title: engineer in San Jose, CA
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