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Leading the consolidation and implementation of new concepts and processes in areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
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1+ years of experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
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Gradient boosted trees, neural networks/deep learning, optimization) and a strong desire to further pursue natural language processing techniques, including LLMs. Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch; Python development experience with proficiency in Spark or PySpark and in using API; AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models; Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques.
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Experience with deep learning, computer vision, NLP, or signal processing machine learning development. Experience with a programming language, including Python, Javascript, Typescript, HTML, CSS, and/or Svelte or Java Experience with deep learning.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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Experience with natural language processing (NLP), computer vision (CV), or deep learning (DL) model development. Machine Learning Engineer The Opportunity: Are you excited at the prospect of unlocking the secrets held by a data set.
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Demonstrated expertise in search indexing, retrieval and ranking systems like Elasticsearch/OpenSearch, personalization, and/or natural language processing. We are looking for a highly-skilled and experienced machine learning engineer to join the Search team to lead our search quality efforts through their early ML phase (and beyond.
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Demonstrated knowledge of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
$149,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. This role is for a machine learning engineer in the Inference team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM. Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience.
$359,720 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred. Expertise in building machine learning platforms and data pipelines at scale.
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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.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$177,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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