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Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning. Certifications in relevant areas such as data science, machine learning, or project management (e.g., Google Cloud.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Application spaces of algorithm development include graph theory optimization and quantum machine learning. Familiarity with Python or Matlab or Mathematica or C or a Quantum Language (Qisket.
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LLM Knowledge: Deep understanding of LLM architectures (e.g., Transformers), training techniques, and inference optimization strategies. Collaboration: Work closely with data scientists, researchers, and software engineers to integrate LLM models into production systems effectively.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Key word search: Python, Master's degree, predictive maintenance, preventative maintenance, relocation package, data science. Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. This role will also report to the North America VP of IT & Data. This role requires a deep technical understanding as well as robust management skills to align data solutions with the organization’s strategic goals.
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We have revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. Work closely with a team of data scientists to leverage machine learning models to drive business performance.
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Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks. Our expertise in transforming IT infrastructure, driving innovation with AI and machine learning, and turning data into actionable insights sets us apart in the industry.
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EOSID specializes in the complete optical imaging and remote sensing chain, from the analysis, design, development, integration, test and evaluation of imaging and sensing systems, to the processing, exploitation, and visualization of data and imagery.
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