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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning.
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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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Responsibilities: Own strategy and in-house execution for product marketing, sales enablement, demand generation, public relations, content marketing, event marketing and social media marketing programs.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Spun out of Stanford in 2019, we have built an intelligent analytics platform fueled by our revolutionary device which uses machine perception and sensor fusion to provide an operations digital twin that combines factory operator activity with machine data for the first time.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers.
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Technical Proficiency: Familiarity with data science methodologies (machine learning, statistical modeling, etc.) Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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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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They will then express those in high-impact marketing campaigns, marketing assets (most importantly our website), product strategy, and sales enablement. Work closely with our Growth Marketing team on channel-level execution and experiments ● Oversee competitive intelligence, analyst relations, and sales enablement from a product marketing perspective.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. Strategy & Planning: Collaborate closely with our CTO and Head of Product to set the roadmap and scope projects.
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Leadership: Play a key role in engineering and product strategy, priorities, and culture. 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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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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As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. - Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.
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Work with Pryon functional teams, including Marketing, Support, Services, and Engineering, to drive sales, support, and product development strategy. 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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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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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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product strategy machine learning sales enablement jobs in San Francisco, Grove-city, Ohio
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