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We are looking for strong research engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
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Additionally, you will be proactive in identifying potential issues before they become outages, leveraging your expertise in telemetry data collection, querying, and monitoring using tools such as Grafana, Prometheus/Mimir, OpenSearch, and Sentry.
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In partnership with an international network of contributors, LXT collects and annotates data across multiple modalities with the speed, scale and agility required by the enterprise. LXT is an emerging leader in AI training data to power intelligent technology for global organizations.
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Expertise with marketing tools such as Marketo, Salesforce Marketing Cloud, Google Ads API, Ads Data Hub and Adobe Campaign. Strong skills in Big Data technologies (Hadoop, Spark, Hive) and AWS services (S3, EMR, Lambda, Redshift, CloudFormation.
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The Lead ETL Developer is responsible for the design, develop, test and implement of current and future data warehouse, business intelligence solutions and data migration projects. The Enterprise Data Platforms include Cloud-based Informatica tool, IDMC, Amazon AWS, and Snowflake cloud technology.
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The team comprises engineers of multiple disciplines including vulnerability research, reverse engineering, CNO/CNE development, hardware emulation, system engineering, and data analytics. For over four decades, our team has been providing some of the world's most technically advanced full-spectrum cyber, data operations, systems integration and intelligence support services to the U.S. government on its most important missions.
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Tecton is the industry's leading feature platform - used by Data Scientists and ML Engineers at ML powerhouses like Atlassian, Block and Coinbase. By taking on this role, you will be responsible for the most important part of Tecton: The core interfaces and capabilities that our primary end users (Data Scientist and ML Engineers) use every day to drive success with AI in their companies.
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Identify feature gaps between enterprise/commercial and FedRAMP offers and prioritize features and enhancements that address customer needs while meeting FedRAMP compliance needs, including security controls, vulnerability management, data protection, and access controls.
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Conduct troubleshooting and technical analyses on manufacturing equipment and processes including PI data analyses, CIP/SIP circuit review, MOC analyses, flow path analyses, etc. Author commissioning protocols (installation, operation, CIP/SIP, wet testing.
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Proven experience with big data technologies (e.g., Apache Spark, Apache Flink, Apache Kafka) and cloud-based data platforms (e.g., AWS, Google Cloud, Azure). Evaluate and select appropriate technologies and frameworks (e.g., Spark, Flink, Kafka, Presto) to build a modern data analytics platform that meets business needs.
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Develop, deploy, and monitor data pipelines to provide timely, complete, and accurate security data for network defenders. We ingest data from hundreds of discrete sources to arm our network defenders.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Ability to compile and analyze technical data using Minitab, Excel, R, and/or Matlab. Drive collaborative design and development of features in apps connected to cloud data systems with machine learning.
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Keywords:Boston MA Jobs, Lead C# Software Engineer, C#, Python, ETL, RESTful, SOAP, OOP, Data Structures, Algorithms, Cloud, AWS, Remote, Work From Home, Software Developer, Programming, Programmer Analyst, Massachusetts Recruiters, IT Jobs, Massachusetts Recruiting.
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Experience with using real-time and Big Data analytic processing technologies (Kafka, time series database and Presto/Trino, Spark SQL, etc) You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale.
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