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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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Must possess hands-on experience with integration tools (Azure Data Factory, Informatica IICS, or equivalent), enterprise scheduling / orchestration tools (Tidal Enterprise Schedule or equivalent), enterprise Managed File Transfer tool (Cleo Harmony or equivalent.
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CoreWeave builds cloud solutions for compute intensive use cases - VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming - that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
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Hands on experience using python machine learning libraries like Sklearn, Matplotlib, Seaborn to build machine learning models such as XGBoost, Random Forest, Logistic Regression etc.
$99,900 - $267,570 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will be involved in holistic surveillance build out which will require excellent understanding and hands-on experience in big data (Hadoop - Cloudera stack) technologies like hive, spark, Kafka, Angular JS to architect, develop and support sophisticated analytics pipeline using Machine Learning algorithms.
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You will design, implement and deploy high-performing machine learning/AI models and create API endpoints in AWS or Databricks. Familiarly with Deep Learning, Neural Network or LLM models.
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We are looking for a technically sound environmental scientist with strong leadership skills who is ready to be challenged and lead environmental planning, documentation and permitting tasks for major transportation clients.
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We have 100+ years of cumulative hands-on experience in architecture, logic design, verification, physical design, emulation and firmware. We accept applications on an on-going basis and there is no fixed deadline to apply.
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Machine Learning: The data scientist is familiar with machine learning algorithms and techniques, understanding supervised and unsupervised learning, feature engineering, model evaluation, and optimization.
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Experience of hands-on machine learning engineering would be an advantage. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital, AI capabilities, we are seeking a Principal Scientist for Data Platform Optimization.
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Support Bioanalytical laboratory by execution of in-process and release testing on batches including, but not limited to, flow cytometry, IFNg potency, qPCR, cell count and viability, sterility, and endotoxin.
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TerrAscend , we are on a mission to shape the future of the cannabis industry by creating leading marijuana-based therapies for patients and developing premium products for legalized adult recreational use.
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In this role you will work on DataBricks using Python Libraries to create cutting edge Machine Learning technologies that will help ADP's Sales and Marketing Team. You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
$86,900 - $233,010 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrate effective verbal/written communication skills required for interacting with all levels of personnel both internal and external to the organization Secure external resources (subcontracted services) to maintain and ensure machine shop equipment is operational Knowledgeable/proficient in the areas of Lean Manufacturing concepts, employee training, development of equipment, operation, & training procedures/policies, effective application of mfg.
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Hands-on development and testing of custom lasers and other optical systems for remote sensing, free-space optical communications, RF photonics, and other applications. Hands-on experience working in an optical lab and using common optical test equipment such as power meters, optical spectrum analyzers and oscilloscopes.
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