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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
RemoteExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Technical Acumen: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Our employees bring deep expertise in Machine Learning, Data Science, 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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Collaborate with counterparts in Architecture, Machine Learning, and Data Governance to deliver data platform initiatives. Expertise in designing and implementing scalable data pipelines using tools such as Apache Spark, Databricks, Kafka, and others.
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Job Qualifications:Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Job Responsibilities: Team Leadership and Development:Lead, mentor, and develop a team of data scientists and machine learning engineers.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Experience working with Apache Kafka, like designing, developing, and managing data streams, troubleshooting, internals, cluster design, optimization, monitoring, schema registry and schema evolution, REST API, and its many related components.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Integrate data platform infrastructure with other systems fostering seamless collaboration among teams e.g. system integration with Fivetran, Monte Carlo, Salesforce Data Cloud, Tableau, Looker, Teradata, Bigquery.
$212,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working under general direction of the Principal Investigator, this position provides analysis and develops and evaluates natural language processing and machine learning algorithms to leverage electronic health record data to support clinical care and research in the neuroscience.
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2-4 years of hands-on experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems is required. Our interests are in enabling data science and search based applications on large and low latent data sets in both a batch and streaming context for processing.
$162,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). Job Description We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Expertise in Boomi, Apigee and Kafka to perform L3 production support. Exposure to API implementations, integration, and deployment of Integration(Boomi/Apigee/Kafka) systems. Troubleshoot and resolve issues related to Boomi/Apigee/ Kafka applications and infrastructure.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Experience with Big data technologies such as AWS EMR, Spark, Machine Learning (AWS SageMaker) and one or more cloud environments (AWS, Google and Azure) Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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hadoop kafka data science machine learning jobs Company: Cardlytics in Dallas, TX
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