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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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The Machine Learning (ML) Practice team is a specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. 4+ years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, scikit-learn, gensim, nltk, and TensorFlow/PyTorch.
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Founded in late 2020 by a small group of machine learning researchers, Mosaic AI enables companies to create state-of-the-art AI models from scratch on their own data. Experience with compiler technologies relevant to machine learning.
$192,000 - $260,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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In addition, you will partner closely with various Databricks product teams to enable streaming for the overall Databrick product portfolio including data science, data engineering, and machine learning products.
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Preferred] Experience working with Apache Spark to process large-scale distributed datasets. Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
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Founded by the original creators of Apache Spark, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products.
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Passion for collaboration, life-long learning, and driving our values through ML. As a Specialist Solutions Architect (SSA), you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization.
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5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI). You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs.
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As a Specialist Solutions Architect (SSA) - Machine Learning on the Healthcare & Life Sciences team, you will guide customers in building big data solutions on Databricks that span a large variety of machine learning use cases.
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Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, and participating in the larger ML SME community in Databricks.
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Reporting to a Director of Field Engineering, the Manager, Solutions Architects (SAs) will help lead a team of SAs for the Financial Services segment of Databricks’ Field Engineering team. Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
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You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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As a Staff Architect, you’ll apply your expertise in the field of data engineering and/or machine learning along with your passion for enabling others to lead the strategy and design of Databricks product enablement offerings - if you consider training as a product, you are the product manager.
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At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is committed to fair and equitable compensation practices. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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Databricks is the data and AI company. Make your customers extremely successful with Databricks and provide outsized value to their businesses. Based on the factors above, Databricks utilizes the full width of the range.
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machine learning apache spark jobs Company: Databricks
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