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Demonstrate hands-on Data Cloud product knowledge by applying platform features and functions to customer business priorities and roadmap. Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$165,060 - $242,830 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Our customer is seeking a dedicated and detail-oriented individual to join their team as an Azure Data Engineer, with hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design build, and maintain ETL pipelines, manage data lakes and create insightful reports and visualizations.
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experience. Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
$160,000 - $180,000 a yearFull-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands-on experience with AWS (including Sagemaker and Bedrock), Docker, Kubernetes, modern databases, and DevOps tools such as Ansible and Terraform. Orchestrate cloud infrastructure to support SaaS/VPC data and machine learning pipelines.
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Hands-on experience with dbt for data modeling and transformations. 5+ years of experience in data engineering, with a strong focus on AWS, Redshift, and Snowflake.
$160,000 - $161,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We're on the hunt for a highly skilled and experienced senior data scientist to lead the delivery of Generative AI solutions at the Citi Innovation Lab. We need someone who's not just knowledgeable but hands-on, with a track record in data science, Natural Language Processing (NLP), Understanding, and Generation.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Azure Platform Experience: The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI.
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Deep hands-on experience in machine learning, relational databases, and open source programming languages (Python, R) for large scale data analysis. Strong knowledge of data science technologies and machine learning concepts and have experience developing models from research, to a proof of concept, to a production pipeline.
$140,000 - $160,000 a yearFull-timeExpandUpdated 6+ months ago - UpvoteDownvoteShare Job
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Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years of hands-on experience in operationalizing Machine Learning solutions which are used in live production processes. 2+ years of hands-on experience in using Databricks platform.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Snowflake, Spark, and Databricks for data processing and analysis. 3-5 years of experience as a Software Engineer, with a focus on Big Data and Machine Learning.
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Hands-on experience with data engineering and/or machine learning on Azure cloud. You will specialize in building cloud-based data platforms incorporating advanced data engineering, data analytics and artificial intelligence technologies for Renewable Energy clients.
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Azure Platform Experience: The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design, build, and maintain ETL pipelines, manage data lakes, and create insightful reports and visualizations.
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data hands on machine jobs in Kew Gardens, NY
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