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Optimize and fine-tune machine learning models for performance, accuracy, and scalability. Position Overview: We are looking for a Machine Learning Architect with a strong background in Large Language Models (LLM), Vertex AI, Chatbot development, and AlloyDB. The ideal candidate will have a deep understanding of machine learning frameworks, AI/ML model deployment, and scalable data architectures.
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Two or more years with practical experience in developing natural language processing (NLP) and machine learning models. Stay up-to-date and share latest advancements in natural language processing, machine learning and educational technology.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Test Case Development: Create detailed and effective test cases and scripts for functional, integration, and performance testing, ensuring all aspects of the system are thoroughly tested. Leadership and Team Management: Lead, mentor, and manage a team of QA testers, fostering a collaborative and high-performance environment.
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Data will be an important tenant to profile customers, manage teams, and optimize results, including predictive analytics to forecast churn and downgrades. The ideal candidate is expected to bring deep experience in leading renewal teams in a modern SaaS corporation, strong negotiation strategies, and a demonstrable ability to leverage data science and analytics to drive accurate forecasting and churn mitigation.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will apply classical ML algorithms and cutting-edge deep learning (DL) approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Reporting to the Lead Data Scientist, you will play a crucial role in our analytics capabilities, spearheading the development and implementation of cutting-edge machine learning and artificial intelligence frameworks that empower our customers to unlock actionable insights from complex data.
$161,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
$176,700 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Demonstrated interest in AI technologies and willingness to learn how AI can enhance HRIS platforms like Workday, including basic understanding of machine learning concepts, natural language processing, and predictive analytics.
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As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Partner with the client, as well as Aladdin Product Managers, developers, and financial modelers to support client development needs and assist with deployment of new models, analytics, and reporting across our broad range of financial products and investment styles.
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Develop and integrate AI models and machine learning solutions using our tech stack: Python, AWS (including Bedrock, SageMaker), Docker, Postgres, and Ruby on Rails. As a Senior Machine Learning Engineer at Reserv, you will define our technological trajectory and drive growth for years to come.
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Experience with statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods. Develop solutions focused on data science and engineering using machine learning, deep learning algorithms, statistical concepts, data modeling, software development and visualizations.
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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today’s biggest, most complex business challenges using the latest data and analytics technologies.
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Utilize statistical analysis, predictive modeling, and machine learning techniques to uncover insights that inform marketing strategies and business decisions. Strong knowledge of statistical analysis, predictive modeling, and machine learning algorithms.
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machine learning predictive analytics jobs Title: performance in Atlanta, GA
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