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Object oriented Python programming and solid experience with machine learning libraries - Pandas, NumPy, Scikit-learn, TensorFlow, etc. Role - Data Engineer. Expertise with relational databases, Splunk, Snowflake, YugabyteDB, Aerospike, S3 and similar data management platforms.
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Utilize modern cloud database and storage concepts to for data storage and versioning (Data Lakes with AWS S3) - Establish scalable, efficient, automated processes for large scale data analysis - Build data pipelines to feed machine learning models for real-time and large-scale offline use cases.
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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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The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with Data Science platforms such as SageMaker, Machine Learning Studio, or H2O. Role : Data Integration Engineer (F2F) Extensive experience as a Data Engineer with strong proficiency in Python and Cloud Technologies (AWS preferred.
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Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software.
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Support the custom development and implementation of proprietary Machine Learning, LLM and AI enabled products, including the selection and engagement of solutions partners, development of grounding, RAG, vectorizing, and related technical protocols and procedures.
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Engage with analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, with potential exposure to advanced areas such as statistical analysis and machine learning.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
RemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Build data pipelines to feed machine learning models for real-time and large-scale offline use cases. - Design, build, and maintain data pipelines using modern Big Data technologies such as AWS Redshift, S3, Glue, Athena, EMR, Spark, Hive, etc.
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Familiarity with machine learning, and predictive modeling concepts and frameworks. The Contract Data Engineer will support the continued development of the Microsoft Fabric environment by working with the Data Engineer.
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AI/ML Integration : Experience with AI/ML technologies, including machine learning, large language models (LLM), and integration of AI/ML capabilities into data engineering workflows.
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Degree in Computer Science, Machine Learning, Data Science or related field, with expertise in knowledge representation. 5+ years expertise with machine learning and/or natural language processing.
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For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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Experience with one or more of the following a plus: model development, machine learning / artificial intelligence, and data science. The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization.
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machine learning jobs Title: data engineer in Dallas, Pelham, New Hampshire
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