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Machine Learning Engineer is an expert at working with structured and non-structured data sources and other programming/scripting languages. Ability to write reusable code components Familiarity with programming languages such as R and/or Python/ Julia/ Scala Communication skills including the ability to identify and communicate data driven insights Preferred Qualifications: Experience in development and deployment of models in GCP including Vertex AI OR Azure Open AI Experience in SQL for data mining, feature engineering.
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Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning.
$45 - $50 an hourExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Barr is seeking a senior-level mining hydrogeologist to help grow our team of professionals that deliver services to the mining industry in areas related to hydrogeologic characterization, water management, feasibility studies, environmental permitting, and mine reclamation.
$90,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
$120,000 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will be responsible for the strategic development of our data platform within Snowflake, the transition of BI tools from DOMO to Power BI, and the integration of machine learning and AI to optimize business processes and decision-making across all departments.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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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.
$150Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Exemplify a commitment to excellence in research, operations, and community engagement, and work cooperatively to leverage scientific capabilities across ORNL. Work in a highly collaborative environment with data scientists, machine learning scientists, remote sensing scientists, HPC engineers, and geographers to deliver research and development prototypes.
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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, and Machine Learning engineers for full-time positions with clients.
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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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machine learning data mining engineering jobs Title: engineer data Company: Amazon Web Services Aws
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