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Proven track record of leveraging advanced analytics techniques (such as machine learning, predictive modeling, and natural language processing) to derive actionable insights and drive business value.
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Familiarity with GenAI, NLP (Natural Language Processing) Develop APIs & Batch Processing with technologies such as Python, Flask, Java, Spring, MSSQL, Snowflake in an Azure infrastructure.
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Key Responsibilities: Lead Data Science Projects: Design, develop, and implement predictive modeling projects that address critical business problems, leveraging expertise in machine learning, deep learning, natural language processing, generative AI, and other areas.
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Profound expertise in machine learning, deep learning, and natural language processing, coupled with hands-on experience in developing and deploying state-of-the-art models at scale.
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Familiarity with Natural Language Processing (NLP) tools. One of our major Healthcare clients in NYC is looking for an outgoing Level 1 Help Desk support Analyst to join the hospital's Enterprise Service Desk. This individual will serve as the front-line IT support for the Health System's 11 hospitals.
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Familiarity with a wide range of qualitative research methodologies such as one-on-one interviews, panels and immersion programs, ethnographic field research, usability testing (lab and remote), heuristic evaluations, survey science, social listening, natural language processing, etc.
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A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
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Experience with design, implementation and governance with Artificial Intelligence, Natural Language Processing or Machine Learning Architecture. This role is accountable for IaC for Pyfarm, IaC for QRM, IaC EFT standards deployment, integration of IaC into CI/CD pipeline, and policy as code capability.
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We're currently looking to hire research scientists with experience in machine learning and natural language processing. Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.
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Experience applying various Machine Learning techniques such as: Time Series Forecasting, Recommendation Systems, A/B Testing, Dynamic Pricing, Logistics Optimization, Churn Analysis, Segmentation Analysis, Natural Language Processing, Deep Learning and Reinforcement Machine Learning.
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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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Must be able to design and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.
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Proven track record of shipping products or solutions with significant usage in either computer vision, natural language processing (NLP), or another deep learning domain. Design, develop, and optimize deep learning models for various applications such as computer vision, natural language processing, and reinforcement learning.
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Strong understanding of machine learning algorithms, deep learning techniques, and natural language processing. Develop algorithms that integrate visual data with natural language processing to create cohesive models.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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