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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 Today - UpvoteDownvoteShare Job
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Must have any experience with each of the following: (1) Data Science, Artificial Intelligence, Big Data, and Machine Learning; (2) Azure Databricks, allowing for creating scalable and collaborative data analytics workflows using Apache Spark; (3) working with React JS, Angular JS, and Vue JS frameworks, including HTML and JavaScript, to develop interactive web applications; and in the following programming languages (Python, Java, C.
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Deploy and manage machine learning models using tools like Kubernetes, Docker, and orchestration platforms such as Kubernetes and Apache Airflow. Develop and manage machine learning models in production environments on cloud platforms such as Azure, AWS, or GCP.
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Experience in AWS Athena, Elastic search, AWS MSK, Dynamo DB, Spinnaker, Spark, Data Modeling, Shell Scripting, Stored Procedures, X-ray, Datadog. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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PhD or advanced degree in computer science, machine learning, cognitive science, psychology, economics, or similar (preferred). Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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The machine learning team is looking for a Senior Machine Learning Engineer to help build data-driven products using machine learning/data science.
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1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.
$140,100 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2 Years Experience executing and deploying data science, machine learning, deep learning, and Generative AI solutions preferably in a large-scale enterprise setting (fewer years may be accepted with a Masters or Doctorate degree.
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The Data Science and Machine Learning team work on a range of classification and optimization problems, e.g. search ranking, text/sentiment classification, and/or collaborative filtering/recommendation, to deliver the world's quality information to the people who need it.
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Proficiency in data science, machine learning, and analytics, including statistical data analysis and A/B testing. Partner closely with Siri search engineering teams on core machine learning algorithms and systems that are part of Siri’s ability to understand and respond to requests.
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Experience working in Data Science, Machine Learning, or Artificial Intelligence applications. 3 year minimum working with Back End software development including hands on experience in one or more of the following: Java, PostgreSQL, MongoDB, Accumulo, Go, Python, Elastic Search.
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We're looking for top-notch search engineering talents 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 multi-modal search.
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The Machine Learning Engineer in the Search Data Science team will play a pivotal role in supporting the architecture and development of AI initiatives within the Sam's Club division of Walmart Inc. This position is key to crafting the ML/AI models that will enhance member experiences across eCommerce, Scan & Go, and in-club shopping.
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Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning. or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc.
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Data Scientist /Machine Learning Engineer (Analyst, Associate) 2+ years of machine learning, data science, and/or statistical modeling experience, with significant contributions that you can talk to.
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