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Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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You have extensive knowledge in any /multiple SAP modules related to supply chain management, including IBP, SAP MM (Materials Management), SAP SD (Sales and Distribution), SAP PP (Production Planning), and SAP WM (Warehouse Management.
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A Supply Chain and Operations professional who helps clients develop strategies and operating models that integrate planning, procurement, product design, manufacturing, and/or fulfillment functions within an organization, as well as connect suppliers and customers across the extended supply chains.
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Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure. Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. In this role, you will sit at the intersection of Data science, Engineering, and Product Management, & work collaboratively with different teams to transform data generated by our fleet of edge devices & other digital data into data products that provide actionable insights to our end customers.
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The team acts as a “startup within a startup” and consists of 2 dedicated engineers, 1 business generalist, and is led by our CTO John Wang. We’re looking to add a machine learning engineer who’s been an early hire before and thrives in ambiguity.
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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
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Work with large scale structured and unstructured data, build and continuously improve cutting edge machine learning models for Airbnb product, business and operational use cases.
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Email DBA Web Technologiesmarketing@dbawebtechnologies.com Sr. Data Scientist (Data Scientist, Senior Information Scientist, Time Series, modeling, machine learning, deep learning, statistics, data visualization packages) - 100 % Remote Data Visualization Packages, deep learning, Machine Learning, Modeling, Statistics, Time Series Location: Illinois Job Function: Data Scientist Date Of Job Posting: 08-12-2021.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. TeachFX uses AI to show educators personalized insights about the learning dynamics in their classroom, helping them understand which of their instructional practices are making the greatest positive impact on student engagement and equity.
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Strategy & Planning: Collaborate closely with our CTO and Head of Product to set the roadmap and scope projects. Leadership: Play a key role in engineering and product strategy, priorities, and culture.
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product management supply chain machine learning jobs in San Francisco, Sulphur, Louisiana
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