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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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Architect, innovate, design, and implement scalable and robust solutions for machine learning involving large volumes of heterogeneous data. In this role, we are looking for a Principal Machine Learning Engineer to help leverage the advancements in large models to accelerate simulations in industry scenarios, such as in agriculture, food, supply chain, retail, energy, manufacturing, and other verticals.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A deep technical background in applied data science, spanning some or all statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics.
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Laurea Specialistica in Ingegneria Informatica, Ingegneria Matematica, Data Science & Artificial Intelligence, Informatica, Statistica o discipline affini; Competenze avanzate di statistica, Machine Learning, Reinforcement Learning e Deep Learning.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.
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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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Experience with data science packages such as skit-learn, SciPy etc., and Machine Learning frameworks such as TensorFlow, Keras and Torch or LLMs. The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucid's Luxury brand.
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Stay Updated on Industry Trends: Keep abreast of the latest developments in data science, machine learning, and marketing analytics. Continuous Learning: Commitment to continuous learning and staying updated on the latest developments in data science, machine learning, and marketing analytics.
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We're not a traditional Data Science team: we build creative Machine Learning solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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Information Technology, Consulting, Artificial Intelligence, Software Development, Data Science, Machine Learning, Data Analytics, Cybersecurity, Computer Software, Information Technology and Services.
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Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input dataset. Provide guidance to other software development teams as Data Science Lab prototypes are engineered for full production environments.
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Do you have a passion for data science, machine learning and AI? As a Senior Data Scientist on our team, you will partner with our engineers, other data scientists, and researchers to experiment, design, build, and deploy statistical, machine learning, and AI models to protect the Microsoft Cloud against known and emerging cyberattacks.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design to coding, testing, and maintenance.
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