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We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc.
$110,000 - $142,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong knowledge in Machine learning and AI.Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.
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E AirFlow/MlFlow/ Kubeflow) · Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i. dcca.com Machine Learning – All Levels Candidate must have an active TS/SCI to be considered Key Tasks: · Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools · Built and deploy AI algorithms especially in cloud environments (i.e. AWS) · Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.
$75,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience with distributed computing frameworks such as Hadoop or Spark, or distributed training of Machine Learning models. Experience with modern Machine Learning, Natural Language Processing and Text-mining technologies.
$210,000 - $310,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Analytics team at Guidewire uses internet scale data collection, adaptive machine learning, generative automated intelligence (Gen AI), and insurance risk modeling capabilities to help insurers and other financial institutions model evolving risks, develop new products, and make better business decisions.
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You ll handle administration, configuration, and optimization to support data analytics, machine learning, and data engineering activities. Strong knowledge of IaC via Terraform HCL, SQL, Python, Apache Spark, Gitlab CI/CD pipelines, MLOps.
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Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
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As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions.
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Optimizing data engineering and machine learning pipelines. Deploy enterprise-ready, secure and compliant data-oriented solutions leveraging Data Warehouse, Big Data and Machine Learning frameworks.
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Data Warehouse Architect Hybrid@ CO/ MN. Use Terraform to provision and deploy Data bricks clusters, workspaces, and associated AWS resources. Bachelor's degree in a relevant field (computer science, data engineering, etc.
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Understanding of and experience using multiple statistical and machine learning modeling techniques (e.g., generalized linear models, tree-based classification, network analysis, simulation modeling, inferential statistics, natural language processing, other structured and unstructured analytical methods.
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Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning. Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Master’s Degree in a related field (e.g., Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, IT) Bachelor’s Degree in a related field (e.g., Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, IT.
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The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning. Aptitude and experience in applied statistical modeling and machine learning techniques.
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We employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize selling motions.
$127,300 - $247,600 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago
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