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Proficiency in programming languages such as Python, R, SQL, and experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, Scikit-Learn.
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Masters or PhD degree in Systems Engineering, Artificial Intelligence, Data Science, Statistics or Machine Learning. Familiarity with conducting research and development in Machine Learning, Artificial Intelligence, or Data Science.
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Be able to work with data scientists, understand and contribute to modern machine learning development lifecycle. Machine learning technologies (E.g. Python scikit, SparkML, Tensorflow.
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The Learning Department Data and Systems Intern will support the work in the collaborative learning and social innovation areas within the LA Phil’s Learning Department. Position : Learning Department Data and Systems Intern.
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The team collaborates with Data Engineering and Machine Learning teams in the broader Data organization. including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
$140,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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You will gain basic machine learning and computer vision knowledge and how annotation data powers Zefr’s machine learning and AI technology. As an official YouTube Measurement Program Partner, Meta for Business Partner, and TikTok for Business Partner, the company leverages patented machine learning and AI technology (Cognition AI) to offer brands and agencies more precise and transparent brand safety and suitability activation and measurement solutions on scaled platforms.
$65,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Other nice to haves: Kubernetes, Machine Learning. You will get hands-on experience solving complex data problems using Big Data frameworks and methodologies. You will be joining a strong, determined and results-oriented Data Engineering team that is transforming Edmunds from IT to real time data-driven.
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
$180,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Minimum 2 years work experience with Machine Learning, Artificial Intelligence, or Data Science. The Sr. Enterprise AI Strategy Advisor (Sr. Project Engineer - Computer Engineering - Data Science/Big Data Mining and Artificial Intelligence) will execute Space Systems Architect Division mission by leveraging the Aerospace program office and engineering technology group backplane to collaboratively develop and assist in execution of SSC's Enterprise AI Strategy and Implementation plans aligned to both the DoD and AI Strategy documents.
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We are hiring a Multilingual Quality Control Specialist/ Senior Multilingual Data Annotation Specialist responsible for conducting annotations and quality control (QC) on videos, images, and metadata for YouTube, TikTok, Facebook, and other social media content.
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Experience must include two (2) years of experience in data mining and development of ETL processes; distributed data architectures and big data processing technologies such as Spark, EMR, Hadoop and Hive; and Realtime Frameworks, collection, and processing Realtime data using kinesis Data Streams, KCL, KDA and Firehoses.
$183,855 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Apply your expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation analytics engines and services. Continuously improve machine learning models, data collection and processing procedures to adapt to ever-changing defense requirements and technologies.
$250,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other AI technologies and platforms; Building machine learning models and systems, interpreting output, and communicating results to internal/client teams and how those outcomes realize business value.
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