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As a Data Engineer, you'llperform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.
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Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
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Develop and maintain complex predictive models, utilizing statistical techniques and machine learning algorithms, to forecast patient demand, resource utilization, and financial performance.
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As the Product Manager, Machine Learning Initiatives you will lead the development and monetization of new machine learning, data, and performance advertising solutions.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Needed for data analytics, data science, and machine learning, Unix-based operating systems, Coding in Python or GoLang, Understanding of APIs and Web Services, Understanding of Network constructs and Network security.
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Any of the following technical skills will be a plus: Experience with languages (Python, SQL, etc.) Interest in learning and using emerging technologies (Mobile, payments, cloud computing, information security, AI, and converging markets.
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The ideal candidate will have a solid foundation in data engineering principles and practices, along with a passion for data analysis, machine learning, and problem-solving.
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Experience with scientific computing language and big data knowledge, including Python, SQL, Hive, Hadoop, Spark etc. Experience with common machine learning algorithms (SVM, KNN, logistic regression, random forest, XGBoost, Neural Networks, etc.
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Must have 5 years of experience in data engineering as individual contributor and hands-on/coding; writing complex SQL queries; coding in Python or Spark or Scala or any other common Big Data related languages; data modeling concepts with proven experience designing large scale data systems; creating and driving strategies to drive data democratization and enablement; Snowflake; Databricks; and working in AWS environment.
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SQL, databases, scripting, Matlab/R, SAS, and data visualization. Rapidly develop prototypes of artificial intelligence, machine learning models applied to sustainability and finance problems.
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We work on novel technologies including analytics on GPUs, container technologies, graph databases, infrastructure and models for LLMs and data-science, machine learning for systems, and many other areas.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Guide the process to build machine learning models and data pipelines to deliver insightful yet practical solutions. Experience in big data processing, e.g. Hadoop, SQL, Spark.
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Special Skill Requirements : (1) Python; (2) SQL; (3) Java; (4) Javascript; (5) R; (6) Azure; (7) Matlab; (8) Machine Learning; (9) Deep Learning; (10) Data Structures.
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Strong understanding of machine learning principles, especially in the context of LLMs. 12+ years of experience in ML Engineering ( NLP) and Data Engineering. Experience in Data injestion and Data Visualisation through Tableau or related tools.
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Proven experience working directly or adjacent to ML data operations (synthetic data creation, human data collection/annotation, data quality management) in support of machine learning features.
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