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Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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Deep understanding of distributed computing principles, data management concepts, and big data ecosystem components (e.g., Hadoop, Spark, Kafka, Apache Delta Lake ). Hands-on experience with cloud platforms ( e.g., AWS, Azure, GCP ) and containerization technologies ( e.g., Docker, Kubernetes ), code management tools and frameworks ( e.g., Ci/CD, Git ) for understanding and managing big data solutions.
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Associates degree in engineering technology or 2+ years experience working as electro-mechanical technician. Title | Cyclotron-Engineering Technician. Ability to define problems, collect data, establish facts, and draw valid conclusions required.
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Knowledge of machine learning algorithms and data analysis techniques for optimizing ad targeting and performance.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Our engagements with clients are highly focused on the key technology areas like Cloud Migration and Implementations, Data Science which include Artificial Intelligence and Machine Learning, Big Data Solutions and Full stack development.
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Will be tasked with modifying/creating C# applications, MES modules, Work Tasks BPM software, LIMS, AVEVA's BI Gateway (consolidating and aggregating data from different sources), Rockwell PLCs as needed to provide needed MES data, Power BI (data modeling, reports, dashboards for key insights and metrics), migrating SSRS and Tableau reports to Power BI, SQL queries, SSRS, and creating DAX calculations to support data analysis.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Design and execute protocols for data collection for deep learning, and apply collected datasets, including computer vision, computer audio, and condition-based monitoring of machines.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. We are seeking an experienced Python Developer with a strong background in PySpark to join our data engineering team.
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Property Intelligence Engineering is an innovation group within CoreLogic with deep roots in agile software development (CoreLogic Announces Formation Of CoreLogic Innovation Labs In Collaboration With Pivotal.
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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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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.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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10 years of experience in analytics or data engineering role, including Snowflake platform. Experience using machine learning, text-mining to extract insights from structured and unstructured data to assist in predictive analytics.
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engineering big data deep learning jobs Title: data engineer in Dallas, NV, Australia
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