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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Experience with big data technologies (e.g., Databricks, Snowflake) and data visualization tools (e.g., Qlik Sense, D3. Strong knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.
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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data.
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Expertise in at least two fields in Natural Language processing (Natural Language understanding, Natural Language Generation, human computer interaction, Large Language Models, generative AI, Image Generation, and Tools) or at least two fields in Data Engineering (ETL data pipeline, big data processing, data warehouse, NoSQL database, distributed/parallel systems, and cloud computing.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB.
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Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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Understanding of cloud data engineering and integration concepts. Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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The Data Scientist is a key role in the transformation of business. + Proven Machine Learning experience and involvement in data science projects and product delivery. + Understanding of exploratory data analysis, descriptive analytics, prescriptive analytics, predictive analytics and so on.
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This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
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Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Research Scientist Intern, Natural Language Processing (PhD) Responsibilities.
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