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E AirFlow/MlFlow/ Kubeflow) · Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i. · Experience with Python programming language · Involved with setting up the data pipeline, machine learning framework—from data discovery to model deployment—in a big data environment.
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Experience with modern Machine Learning, Natural Language Processing and Text-mining technologies. You will be a Collaborator - being an effective partner to product managers; you will work with product managers in driving new user experiences through Machine Learning and Natural Language Processing and build experiments that drive key product decisions and provide invaluable insights.
$210,000 - $310,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience using analytics/ML tools such as Python, R, Spark, BigQuery SQL, or Snowflake. Experience with distributed computing frameworks such as Hadoop or Spark, or distributed training of Machine Learning models.
$210,000 - $310,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Natural language processing (NLP) and text mining skills a plus. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) We solve complex challenges alongside the most influential companies in the industry, using the most advanced algorithms in areas such as machine learning, biometrics, and video processing, combined with world class software and silicon development.
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Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommender system.
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Experience in a statistical programming language (e.g., R or Python) and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks.
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Many areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, image processing, algorithms, digital signal processing, audio engineering, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, knowledge engineering and management, social network analysis, computer graphics, image & signal compression, computer networking, IoT are highly relevant to our research.
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Experience with advanced analytics techniques, including machine learning, natural language processing, and statistical analysis. Strong understanding of data processing frameworks, such as Apache Spark, Hadoop, or Elasticsearch.
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Statistical analysis using machine learning algorithms such as natural language processing, logistic regression, Random Forest or gradient boosting. Experience with Big Data tools such as Redshift, EMR, Spark, etc.
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You should have strong programming skills and professional experience in one or more: AI and Machine Learning, Natural Language Processing, Data Science, Deep Learning. Experience with one or more data toolchains such as Amazon SageMaker, Apache Kafka, Elastic Search, Spark, EMR, Kinesis, Glue, Redshift, etc.
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At least one year of experience in the Machine Learning or AI domain, working with technology infrastructure related to Deep Learning, Large Language Models (LLM), Generative AI (GAI), Natural Language Processing (NLP), or other areas.
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Understanding of data preparation, machine learning, deep learning, and natural language processing. We call our offices Centers of Energy, because they’re where we accelerate work, spark creativity, and ignite our culture of connection and celebration.
$155,400 - $213,700 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Depending on the challenge at-hand, you may be expected to conduct any of the following methodologies:agent-based modeling, reinforcement learning, natural language processing/large language models, neural networks, optimization, probability & statistics, design of experiments, regression analyses, classification & clustering, simulation, Bayesian modeling.
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Algorithm Development: Develop and implement machine learning algorithms and models, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
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Regression, Classification, Natural Language Processing, and Deep Learning experience preferred. Experience with Spark, Microsoft Azure Ecosystem, Databricks is a plus. Our 2023-26 Sustainability strategy, called “Roots of resilience,” focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations.
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