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Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities. 10+ years of software engineering, analytics development or machine learning engineering experience.
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In this role, you will oversee a remote global machine learning engineering team. ZoomInfo is looking for an experienced professional to lead our Machine Learning Engineering on the East Coast.
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Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications. Promote a culture of knowledge sharing and continuous learning within the engineering organization.
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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The Director, Data & ML Engineering willl be responsible for both data engineering and MLOps engineering teams to support data science applications. Oversee the entire lifecycle of data engineering projects: build scalable, reliable, and high performing data ingestion pipelines that collect, transform, integrate, and load structured, semi-structured, and unstructured data from a variety of sources, such as transactional data, data warehouse, and data lakes.
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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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Master’s or Ph. D. in an engineering field such as computer science, electrical/software engineering, information technology, or other relevant engineering field. Test and deploy these AI/ML pipelines in AWS production environment, following CI/CD and release engineering practices.
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You will lead embedded AI engineering resources ensuring that artificial intelligence and machine learning become cornerstone competencies that drive innovation across the company and revenue for our customers.
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Proven track record managing and scaling machine learning teams in one or more of the following areas: computational advertising, recommendation systems, risk/fraud modeling, autonomous vehicles, search, natural language processing, or a related field.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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Leads and advocates for engineering best practices in machine learning (code quality, testing, monitoring, model evaluation, to name a few). Has designed an end-to-end machine learning model lifecycle, from prototyping, implementing & evaluating various Machine Learning models (traditional algorithms, deep learning models and Large Language Models), followed by deployment and monitoring using AWS tools.
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Requirements:- Extensive hands-on experience (8+ years) in software engineering, with a strong focus on AI and machine learning applications. - Drive innovation and technical excellence by implementing best practices in AI, machine learning, and natural language processing (NLP) techniques.
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Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly.
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Expertise in machine learning, predictive modeling, data mining, and advanced statistical techniques. Build statistical models and machine learning algorithms to predict customer issues, identify product adoption drivers (points of struggle ) , personalize product support interaction s , and optimize product performance.
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machine learning jobs Title: director engineering in Fairmont, West Virginia
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