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2-5+ years of hands-on Python, SQL, Typescript/Javascript and Linux development experience. 2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.
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Role: Data Engineer - Machine Learning. Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for training and inference.
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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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The team also owns our Streaming Platform that is build using FlinkAs a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems.
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Proficiency in Python, SQL, and cloud-based data processing tools. Qualifications: Extensive experience in data engineering, data analysis, and machine learning. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-learn. Expertise in machine learning techniques, classification, clustering, and deep learning.
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We have an opportunity for a Data Scientist Machine Learning (ML) Engineer, candidates can be remote but must reside in the United States. Experience with ArcGIS, ENVI, QGIS, GDAL, or Python for geospatial data processing.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
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Interest in machine learning, finance and open source technologies. Java, Scala, Python. Streaming Data Initiative using C. Someone who has worked on the delivery of high volume data.
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Solid understanding of machine learning life cycle, data mining, and ETL techniques. Develop, test, and maintain robust tools, frameworks, and libraries that standardize and streamline the data & machine learning lifecycle.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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We’re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
$150,000 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX. As a Senior Machine Learning Engineer specializing in Conversational AI, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our conversational AI product suite.
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Work closely with Data Science / Machine Learning team to design, code, train, test, deploy and iterate on large scale machine learning systems. You will be part of an energetic Data Science/Machine Learning team, to drive planning and a cohesive set of technology and machine learning solutions enabling data and platform transformation, by collaborating across all channel teams and the critical technology platforms that support Colleague and Customer Experiences.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago
learning python jobs Title: data engineer in Jersey City, NJ
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