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At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.
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Scientist will join the Gene Delivery and Editing Process Development (GDEPD) organization supporting analytical development for production and characterization of lipid nanoparticles (LNPs) and process related residuals, which are critical to generating groundbreaking cell therapies.
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Own artist and content pipelines to improve art production quality and throughput. Integrate generative and reconstruction-based AI into production pipelines. Experience building art pipelines and extending DCC tools such as Maya, Blender, Houdini, or Unity.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Hands-on production experience with orchestration systems such as Airflow. Hands-on production environment experience with distributed processing systems such as Spark. Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python.
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Experience in non-GMP Pilot plant and cGMP production operation. Knowledge of analytics used to support purification development activities including HPLC, ELISA, SDS-PAGE and spectroscopy and proficiency to interpret data.
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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Reporting to the VP, Creative Enterprise, a successful engineering leader will thrive in a “start-up” 0-1 environment, embrace extreme customer orientation, be passionate about delivering delightful, scaled creative production experiences, flexibly execute while utilizing repeatable engineering process, and deliver on-time and with quality.
$344,400 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Desire to work hands-on, both independently and as part of a team, throughout the development and production phases of the solar panel product lifecycle. Familiarity with typical solar panel adhesives, (e.g., EVA, silicones)Experience with manufacturing tooling and jig creationProficiency with common drafting software (e.g., CREO, Autocad, Solidworks.
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Expertise with scaling pilot machine learning solutions to a large-scale production environment using Databricks. Perform data collection, analysis, validation, cleansing, and developing software in support of multiple machine learning workflows, integrating/deployment of code in large-scale production environments and reporting.
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Required Skills Devops Azure Linux Job Duties Responsibilities and essential job functions include but are not limited to the following: Responsible for health of production system Develop monitoring dashboards Configure alerts and automate process for system recovery Monitor alerts and take proactive steps to resolve system issues Troubleshoot production issues Lead production troubleshooting calls Responsible for patches and updates on production systems.
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You will contribute to the strength of our Team Medicine approach to collaborative medicine and benefit from the changes enacted through our Virginia Mason Production System, a model that has transformed health care by providing patients with easier access to care, reducing errors, and continuously innovating patient safety and quality that has been adopted by other organizations here and abroad.
$80.43 an hourFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Deploy models (including in-house LLM's) into production in a scalable manner for both batch and live inference use cases. Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, Databricks, Kubernetes, AWS and much more.
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Scientist will join the Gene Delivery and Editing Process Development (GDEPD) organization supporting analytical development for production and characterization of lipid nanoparticles (LNPs) and process related residuals, which are critical to generating Clients groundbreaking cell therapies.
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Location: IonQ's software team works remotely with the option to commute into our headquarters in College Park, Maryland or our newest facility in Bothell, WA.Our HQ is located in College Park, Maryland and we are a 15 minute metro ride from Washington DC. We have also recently announced our new manufacturing and production facility in the Seattle, Washington area.
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2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
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production job in Seattle, Kearneysville, West Virginia
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