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Strong foundation in machine learning, deep learning, and natural language processing (NLP) concepts. Strong foundation in machine learning, deep learning, and natural language processing (NLP) concepts.
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Hitachi operates under the business structure of “Digital Systems & Services” - supporting our customers’ digital transformation; “Green Energy & Mobility” - contributing to a decarbonized society through energy and railway systems, and “Connective Industries” - connecting products through digital technology to provide solutions in various industries.
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Demonstrated experience training and deploying machine learning models with a preference towards NLP applications. Because so much of this data is unstructured text, your work will lean heavily towards NLP and large language models.
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Python, Spark SQL, Data Science, Applied Machine Learning, Deep Learning, LLM, Generative AI, NLP. Python, Spark SQL, Data Science, Applied Machine Learning, Deep Learning, LLM, Generative AI, NLP.
$150,000 - $160,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.) Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus.
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Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization to multiple analytics projects. Comfortable working in the cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark.
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Develop, enhance, and continuously optimize GenAI algorithms for tasks such as data content generation, recommendation systems, and natural language processing (NLP). Experience with multiple cloud-based data platforms (e.g., Microsoft Azure, Google Cloud, SAP Datasphere or SAP Datawarehouse cloud) and an expert ability to use various tools and frameworks that support data engineering tasks, such as Databricks, Snowflake, Spark, Kafka, Airflow, Azure, GCP, etc.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
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Familiar with state-of-the-art machine learning algorithms and mainstream platforms (e.g., Tensorflow, Pytorch, MxNet), or previous experiences in machine learning areas such as NLP and computer vision.
$112,200 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Specialized experience in one or more of the following machine learning/deep learning domains: Language: NLP, ASR, TTS, Conversational AI. Specialized experience in one or more of the following machine learning/deep learning domains: Language: NLP, ASR, TTS, Conversational AI.
$172,994 - $241,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in one or more of the following areas: ASR, NLP, TTS, Conversational AI, Dialogue, Machine Learning or Artificial Intelligence. Experience in one or more of the following areas: ASR, NLP, TTS, Conversational AI, Dialogue, Machine Learning or Artificial Intelligence.
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Machine learning and NLP algorithms, LLMs, AIOps. Demonstrated proficiency in AWS services such as EKS / Kubernetes, Amazon S3, networking, database and monitoring services. Machine learning and NLP algorithms, LLMs, AIOps.
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Work closely with the SambaNova NLP team to expand LLM capabilities to take advantage of image and video modalities. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Familiarity with AI and LLM concepts, NLP and chat GPT related solutions. Familiarity with AI and LLM concepts, NLP and chat GPT related solutions. Experience using Project and Portfolio Management tools (MS Project, Planview, SharePoint, etc.
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Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components.
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