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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.
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Experience using natural language processing (NLP), including large language models (LLMs), to extract insights from text data. utilize natural language processing (NLP) and large language models (LLMs) to extract insights and features from text.
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Contribute towards roadmap and strategy for development and lifecycle implementationDesign and Development: Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
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MUST HAVE Master’s in Computer Science, Computer Engineering or related Engineering, Machine Learning, or related field; 3 yrs relevant experience in one of the following: Machine Learning, Natural Language processing, or Ontology Engineering technologies; and required skills.
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PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field. We are seeking candidates with native or near-native fluency in French and/or Italian with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, translation-localization and ML model improvements.
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This platform is critical to our client's trading operations, processing tick-by-tick data and driving algorithmic trading, client reporting, and P&L calculations. Maintain the quality and integrity of market data critical for algorithmic trading and decision-making processes.
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This includes driving HR technology implementations through technical process designs, solution architecture, data conversion, integrations, report development, process playback, user acceptance testing, cutover, and production launch.
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Reporting directly to the Assistant Commissioner of Management Analysis and Planning, with wide latitude for independent initiative and judgment, the Director of Data Science and Innovation will assist senior leadership in making evidence-based decisions.
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Skills and attributes for success: - Performs administrative functions associated with the day-to-day use of litigation support software eDiscovery databases, including but not limited to: - database creation and maintenance; - importing images, data and transcripts; - searching and exporting data; - document scanning, OCR and coding; - and document productions - Processing and publishing of electronically stored information for cases.
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Extend processing techniques used in the analysis of brain imaging data and evaluate/compare novel approaches to existing state of the art in the field of brain imaging research. Completed PhD in neuroscience, biomedical engineering, computer science, mathematics, biophysics, neuropsychology or related fields.
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Perform molecular biology and cell biology assays including DNA/RNA extraction, qRT-PCR, ELISA. Help manage in vivo studies conducted with CROs, and with academic collaborators, including shipment coordination and sample inventory management Maintain electronic laboratory notebooks, write study reports, and present data to the team Critically assess data generated from diverse experimental approaches in cell and molecular biology.
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We are seeking candidates with native or near-native fluency in Italian with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, translation-localization and ML model improvements.
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As a Senior Associate in the role of Machine Learning Scientist specializing in Natural Language Processing (NLP), you will be tasked with the application of advanced machine learning techniques to intricate tasks such as natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems.
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Qualifications: 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Strong knowledge of data analytics, data science, and ETL processes.
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Exciting Opportunity at MSK: We are looking for a Central Processing Technician to join our Central Processing Department. Central Processing Technician | New York, NY. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
$38.16 an hourFull-timeExpandApply NowActive JobUpdated Yesterday
data science natural language processing jobs Title: solution engineer in New York, NY
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