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Proven experience as an reliability engineer, production engineer, infrastructure software engineer or a similar role in a fast-paced, rapidly scaling company. Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment.
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Conduct research and development of Natural Language Processing (NLP) models, and collaborate with engineers to bring these models into production. Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. This company engages in the exploration, production, transportation, and sale of crude oil and natural gas.
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As a Senior Antenna Engineer you will be responsible for the design, qualification, and procurement of antenna system components for ongoing production as well as R&D programs. As a Senior Antenna Engineer you will be responsible for the design, qualification, and procurement of antenna system components for ongoing production as well as R&D programs.
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4+ years of experience in machine learning engineering with production systems using Scala, Python, and Apache Spark. Design and build end-to-end machine learning models for search applications from analysis through production.
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Experience working within a studio, post-production facility, or on a streaming platform is a plus. Understanding of playable media component formats and types (IMF, ProRes, Atmos, Dolby Vision, W3C TTML, MPEG Transport and Program streams, MXF.
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As a Costume/Cosmetology Technician you will work with the Cast of our Broadway/West End Style Musical Theater Production Shows and ship wide Entertainment Offerings by providing costuming support, stage makeup assistance and styling, care and maintenance of performer wigs.
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Proficient in Adobe Creative Suite (Photoshop, Illustrator, InDesign, Acrobat), with in-depth knowledge of digital and video / motion tools and production technologies, including: HTML/CSS, mobile/tablet, e-commerce, wireframes, prototyping, social media platforms, digital paid media, and blogs.
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ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. More than 10,000 organizations worldwide - including Comcast, Cond 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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We are a seed-stage startup developing Haber Bosch 2.0 – a next-generation ammonia synthesis process enabling cost-effective, clean ammonia production. We are developing new regimes of physics and plant design that require dynamic processes, especially for ammonia production from intermittent renewable energy sources.
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7+ years professional experience in DevOps / SRE handling production procedures and have a certification with a major cloud provider as GCP, AWS Azure. About the TeamThe mission of the cloud team at Radar is to build the plumbing in the cloud infrastructure, build cloud services, with simple and fast deployment to production.
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Job descriptionYour role and impact:As the Cloud Data Architect, you will lead the architecture and build-out of our data analytics platform components using cloud technologies, working closely with Quant and Data engineers to develop an industry leading platform that is used for quantitative research as well as in production system to drive daily investment processes.
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We’re looking for a Senior Site Reliability Engineer to improve reliability and stability of Webflow’s customer-facing, production infrastructure, serving millions of page views per hour. Occasionally dive into the main Webflow application in TypeScript, Python, or Go to better debug (and sometimes fix) behavior in production.
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Ensure security of the production, systems and applications for an AWS infrastructure with the current software stack: Django, RDS (MySQL), CDN w/Amazon CloudFront, PlayFramework, Cassandra, ElasticSearch.
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Optimize model performance (including open source and licensed LLMs) in production leveraging best practices for CPU/GPU inference on NVIDIA Triton with TensorRT / ONNX. Contribute to the development of scalable model training infrastructure to minimize the time it takes to deploy the candidate models to production.
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production job Company: Adobe in San Francisco, CA, Us
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