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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
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The ideal candidate will have a strong background in mathematics, statistics, and machine learning, along with proficiency in Python data analysis and visualization, API ecosystem, Linux OS, structured and non-structured databases, big data technologies (Databricks, Spark), and cloud services.
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Data Scientist with Real World Data (RWD) experience is a must along with Clinical Trail data, Large Language Models (LLM), Machine Learning, Deep Learning and NLP techniques.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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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.
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If your background is in Computer Science and Engineering, Data Analytics, Statistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
$91,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Serve as a Databricks SME, guiding the architecture and implementation of ETL pipelines, data lakes, and machine learning workflows using Databricks on AWS. Knowledge of big data technologies like Apache Spark, Hadoop, or Delta Lake.
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MS/PhD degree in Machine Learning, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Data Science or related fields preferred (open to BS with relevant professional and/or academic experience.
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In-depth knowledge on data engineering, DB models and architecture in RDBMS, Big Data and other cloud databases such as snowflake, Databricks, etc. Have strong fundamentals in programming languages, data structures & algorithms.
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New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer. At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.
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We would like to hire hands on Scala developer that will be responsible for delivering a high quality code in a big data platform, Unit testing in automated test framework, automated DevOps release and documentation of technology solutions for transaction monitoring, customer activity review, Optimization of scenarios and other associated transformation activities.
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Experience with big data platforms and distributed computing for efficient processing of data. We are looking for a Machine Learning Engineer to join our rockstar team. Ability to own ML projects end-to-end, including definition, data gathering and labeling, model fine-tuning, and serving of final model.
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Understanding of Cloud platforms like snowflake, data bricks, S3, Redshift, Big query etc. Experienced with data preparation and ETL: Airflow, DBT, Fivetran, Kafka, Informatica, Talend, Alteryx, etc.
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Analyze, design, and implement optimized GPU algorithms for large-scale data analytics and machine learning. NVIDIA is looking to hire a Senior Distributed Acceleration Engineer to work on RAPIDS, a suite of open-source software libraries that accelerates end-to-end data science and analytics pipelines on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization but exposes high-performance GPU computing through user-friendly Python interfaces.
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big data mining machine jobs Title: scientist in Newark, NJ
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