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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.
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Advanced hands-on experience creating Grafana operational dashboards, data visualization using GrafanaExperience with software tools - Microsoft ADO, Sharepoint, PowerBI, Helix, Confluence or similarProvide 24/7 operations support for production, other critical environments, DevOps multi-tasking and with clear communication skillsEngage in cross-functional collaboration throughout the entire software lifecycle.
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On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future.
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Hands-on experience building and deploying production-quality LLM, RAG, or agent applications for customers. We're seeking a Founding AI Solutions Engineer to join our team and help maintain our position at the forefront of production-quality LLM application development.
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Hands-on experience deploying, automating, and managing AWS cloud-based production systems (AWS, IAM, EC2, S3, RDS, GuardDuty, CloudFront, AWS-CLI, CodeBase, Lambda, etc.) You will need to develop strategies and plans to negate the possibility of a system compromise on all levels, which includes: proper deployment best practices, penetration testing on a recurring schedule, random audits of publicly accessible properties, and continuing education of system vulnerabilities and how to harden them.
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5 plus years of hands-on experience with Python and/or R programming and statistical. The Senior Machine Learning Engineer supports Machine Learning projects from strategy through implementation and on-going improvements.
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Hands-on experience with AWS (required) or other cloud services reinforced with architectural design experience designing and delivering large-scale solutions, most of which that have advanced to the production state.
$134,368 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Help develop best practices and documentation for production LLM application development. Strong understanding of the challenges in production LLM application development. Identify common challenges in production LLM applications and develop solutions.
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Hands-on experience with JavaScript/TypeScript (especially ES6+), React, HTML/CSS, and unit and integrations testing frameworks. 7+ years of experience in a production environment - 0ur stack is Python, Django, React, MongoDB, and AWS (nice to have but not required.
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Previous hands-on engineering experience in data engineering & orchestration, ETL, distributed unstructured data processing, and MLOps are strongly preferred. Experience in machine learning/AI roles, with a focus on natural language processing (NLP) and large language models (LLMs.
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Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ). 10+ years of experience with strong proficiency in Java, Kotlin, Scala, or C# with a proven track record of developing high-performance applications in production settings.
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Experience in Manufacturing and Installation: Hands-on experience in the production and installation processes of gates and industrial roll-up doors. Any specific offer will vary based on the successful applicant’s education, experience, skills, abilities, geographic location, and alignment with market data.
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As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.
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5+ years of hands-on experience in water treatment, wastewater treatment, industrial water treatment, consulting, operations, management, and/or litigation support Relevant experience in the areas of Civil, Environmental or Chemical Engineering, including water/wastewater treatment process design, process optimization; food and beverage production; or consumer and/or small-scale devices development is a plus.
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Hands-on experience with cloud services like AWS, Google Cloud, or Azure, specifically for deploying ML models and backend services. As a Senior Engineer on our platform engineering team, you will take key ownership in developing cutting-edges end to end solutions using LLMs and other approaches and spearheading new projects.
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production hands on jobs Title: engineer in San Francisco, CA
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