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Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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4+ years experience in enterprise-scale technical design, delivery, or consulting on Azure AI services, Generative AI, NLP, Computer Vision, Search, Deep Learning, Azure Machine Learning, MLOps, Open-Source AI frameworks, AI infrastructure, architecture design, or related technologies.
$101,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are looking for someone who has:5+ years of hands-on experience building ML/AI systems for search advanced information retrieval, ranking, or recommender systemExpertise in machine learning tools and packages like Scikit-learn, SciPy, Tensorflow, Keras, etc.
Full-timeRemoteExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Lead and work with data scientists/engineers and platform engineers to develop search related features using advanced machine learning techniques. Deep understanding of ecommerce ClickStream data including query, catalog data, and customer satisfaction dataSolid knowledge of machine learning and deep learning conceptsExperience working with large data sets in big data environmentsProficiency in Python/Spark, TensorFlow, SQL, Java, Kubeflow, Jupyter, GCP etc.
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These capabilities may include classical Machine Learning Algorithms or Deep Learning based models like LLMs. Work with early adopters (customers) to validate AI solutions and realize value by learning and quickly improving the solution on real customer data.
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Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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You’ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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8+ years of experience in algorithms, machine learning, and natural language processing to build complex data driven software applications. Hands on experience with Text Mining and Text Search applications and frameworks like Elasticsearch or Solr or Lucene.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficient in using Jupyter Notebooks for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Extensive hands-on programming skills in Python with knowledge of SQL, Hadoop/Hive, Spark, and/or Scala a plus. As a Sr Data Scientist, you’ll join a Data Science team responsible for building and enhancing Target’s digital testing capabilities.
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Develop experimental and analytic plans for machine learning algorithms and data modeling processes, use of strong baselines, and ability to accurately determine cause and effect relations.
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Experience with data science packages such as skit-learn, SciPy etc., and Machine Learning frameworks such as TensorFlow, Keras and Torch or LLMs.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
$77,200 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We're looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company.
ExpandApply NowActive JobUpdated 11 days ago
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