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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Hands-on experience in applying Natural Language Processing (NLP) solutions is a plus.
$144,000 - $169,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus. Natural Language Processing (NLP) skills.
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A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Familiarity with natural language processing (NLP) and deep learning. Minimum 6 years of experience with a technology such as Apache Hive or Apache Pig and distributed processing platforms such as Apache Spark or MapReduce and experience working in the Hadoop ecosystem and experience working with a nosql database such as MongoDB or Accumulo.
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Experience with Contact Center Technologies leveraging Advanced Voice Recognition, Conversational AI, and Natural Language Processing 8+ years of experience in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc.
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Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB. Fuse’s innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Advanced degree in Computational Linguistics, or Computer Science with a focus on Natural Language Processing. 6+ of software industry experience in Data Science or Natural Language Processing.
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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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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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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred. Strong coding fluency in Python, R, or Java, with knowledge of object-oriented design principles for larger-scale developmentExperience with Kubeflow, Airflow or other workflows; Docker containerization; and managed Kubernetes systemsExperience with large data sets and distributed computing (Spark.
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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. Cardinal Health Senior Data Scientist Providence , Rhode Island Apply Now Fuse is on a mission to disrupt healthcare.
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