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Previous experience in natural language processing (NLP) or computer vision projects. Solid understanding of data pre-processing, feature engineering, and model evaluation techniques.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Experience in handling data, including data analysis, manipulation, processing, and augmentation.
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Advanced knowledge in end-to-end automatic speech recognition (E2E ASR) and natural language processing (NLP). We strive to increase diversity, equity, inclusion, and accessibility for underrepresented people through communication solutions for all: call captioning and video relay services, over-video and in-person sign language and spoken language interpreting, translation, real-time captioning, and post-production language services.
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Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Role: Data Scientist. 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML.
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Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, or genetic algorithms.
$163,238 - $178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Natural language processing (NLP) and familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.
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Must have six (6) years of experience with: Hands-on software development, data engineering, and systems architecture; Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Developing Enterprise Data Models; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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Responsibilities include full implementation of remote sensing capabilities including analysis and production, test and evaluation, data processing, and dissemination, intelligence production and workflow.
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At least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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A data pipeline for our data lake consisting of batch processing, orchestration with Airflow, monitoring with Datadog and alerting with Slack. We’re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
$96,000 - $132,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The selected engineer will support varied product lines including AI image processing exploitation, digital signal processing, autonomous vehicle software, command and control, Man-Machine Interfaces, sensor/SONAR systems and simulation/stimulation.
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Proficient in data engineering concepts including data modeling, data warehousing, data orchestration (e.g., Airflow), monitoring/observability, and data governance.
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Prior experience with modern data technologies stack such as Databricks, Airflow, etc. Phenomenal data visualization and analysis skills with expertise in tools such as Looker, Tableau, Power BI, Seaborne, etc.
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Openness to learn and stay up to date on the latest trends and technologies in data engineering, particularly within the GCP and Snowflake ecosystem. We are seeking a seasoned Senior Manager (People Leader) in the 40 Act Data Engineering group within the WAM Engineering organization.
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Ability to provide a strategic vision and leadership for the data engineering team, ensuring alignment with the overall business goals. Passion for data engineering, building enterprise data platforms and a commitment to continuous learning.
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natural language processing data engineering jobs Company: Thomson Reuters
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