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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced experience with machine learning, image processing, and/or filtering algorithms and their application to data extraction and classification. SciTec has an immediate opportunity for a talented Algorithm Technical Lead to support programs focusing on Image and Digital Signal Processing, State Estimation, and Classification for exploitation of data from remote sensing systems (ground-based, airborne and space-based.
$130,000 - $201,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
$88,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
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Experience with IBM AI Fairness 360 (AIF360) preference; Machine Learning (ML); Natural Language Processing (NLP); spaCy and NLTK, as well as language models like BERT and RoBERTa, are desired.
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You are familiar with applied data science methods, feature engineering and machine learning algorithms. We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments.
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8+ years of programming experience in languages such as Python, JS, Go and experience with Kubernetes with experience in machine learning frameworks (e.g., TensorFlow, PyTorch) and natural language processing libraries.
$121,500 - $195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Cutting-Edge Machine Vision*: We're in the business of AI and data science.
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Model Development: Design, develop, and implement machine learning models, particularly focusing on natural language processing (NLP) and reinforcement learning techniques.
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Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) for analyzing Earth observation data in the context of carbon monitoring and climate analysis is advantageous.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) AI & Data is an integrated team of data and AI technologists working across Operate, AI, and Engineering.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree 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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Proficient in exploratory data analysis, data transformation, feature creation & engineering, and data visualization using programming languages including SQL, Python, PySpark along with associated machine learning packages such as TensorFlow, PyTorch, and Keras.
$104,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. Our tech stack: We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Vertex AI, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
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You should have experience using deep learning, natural language processing, or machine learning systems. Everyday projects range from deep learning, research & development, algorithm development, natural language processing to DevOps. We want to provide access to the right tools and inspiration so you can solve complex problems creatively.
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machine learning language processing data engineering jobs Company: Thomson Reuters
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