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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Experience with Big Data platforms such as Databricks or Apache Spark. Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage.
$66,000 - $185,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives. Experience with data streaming infrastructure deployment (e.g., Spark Streaming, Kafka, Azure EventHub, or EventBridge.
$66,000 - $185,000Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or KafkaExperience with designing and building cloud-based databases, data lakes, and data warehouses.
Work from homeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML. QualificationsExperience with end-to-end Machine Learning Engineering lifecycle.
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Position SummaryAs a Sr Machine Learning Engineer for Analytics and Behavioral Change team, you will be working on billions of records of retail and healthcare data. Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark.
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Bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies. Experience building automated big data pipelines. develop data applications working in partnership with Data Science and Data Engineering Leaders.
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SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena. This means that we want to continuously improve our method of doing Data Science / Machine Learning, and our knowledge of trends and techniques relevant to our areas.
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We are a close-knit and ambitious team that specializes in rapid development, big-data geospatial systems. Hands-on experience building data and machine learning pipelines.
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Proficient in programming languages such as Python, Scala, or Java. Extensive experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS). You will lead the effort in driving our data strategy, to enable the next generations of Machine Learning models to drive our Ad BusinessWhat you’ll be doing:Lead the design, implementation, and continuous improvement of data pipeline for machine learning that drive our AdTech platform.
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Experience with big data and cloud computing environments, Azure and Snowflake preferred. Strong understanding of data structures, algorithms, ML DevOps (build, continuous integration, deployment) and best practices using DevOps framework and GitHub. Familiarity with healthcare data standards and experience in working with EHRs, medical coding, or risk adjustment is highly desirable.
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Background in big data tech, streaming applications Prior experience in building and deploying ML systems Familiarity with Machine learning algorithms. Ability to design ML systems end-to-end; this includes big-data handling, pre-processing, model generation logic, model persistence including choice of online data stores, etc., systems for consuming active feedback (online learning), web services to publish model predictions to consumers.
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Experience or knowledge in LLM and hands on fine tune experience is a big plus. Have a strong working knowledge of machine learning algorithms such as XGBoost, CNNs, etc. We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with big data systems in production: eg, Spark, Pinot, Presto. About The RoleWe use machine learning and large language models to build software which helps our customers operate their business effectively.
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big data jobs Title: machine learning engineer
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