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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Interest for playing games and understanding their underlying elements, particularly RPG’s and First Person Shooters.
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For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground. 2 years of AIOps experience - Automating (MLP, Deep Learning, or LLM Models) via cloud data engineering pipelines within Azure Synapse and Databricks.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Strong understanding and experience of Oracle HCM Cloud configuration and management tools like Page Composer, Alerts Composer, HCM Experience design studio, ESS jobs, Checklists and Journeys and Document Records.
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Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX. Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage.
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Work as a full-stack developer and gain familiarity in multiple coding languages as needed: e.g. CPP, C#, Python, Hack, JavaScript, React. Partner with other teams within Meta to figure out best approaches to migrate game studio services while bringing the Meta focuses of reliability, scalability, security to the game studio space.
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Meta is seeking a highly motivated and experienced Malware Reverse Engineer to join a team of security professionals in the Reality Labs. The ideal candidate will have a strong background in application security, reverse engineering, harmful and malware applications analysis, with a focus on conducting security research in the Metaverse.
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Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their Machine Learning services. Enhance the resilience and reliability of our Machine Learning platform infrastructure. We are looking for a technical expert to join our team and enhance the robustness and scalability of the infrastructure to support scaling our Machine Learning workloads.
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Trellix’s security experts, along with an extensive partner ecosystem, accelerate technology innovation through machine learning and automation to empower over 40,000 business and government customers.
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As Artificial Intelligence Marketing Technology Manager, you will be the technological cornerstone of our marketing & experience team, driving innovation and efficiency through the strategic use of generative AI, machine learning, and predictive analytics.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Experience with Machine Learning and related technologies such as Tensorflow Python, Torch, Amazon SageMaker, Jupiter Notebooks, git. Possess deep functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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The Senior Machine Learning Engineer will serve as a key technical leader, driving the design, development, and deployment of advanced machine learning applications. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Cultivates Csuite relationships with global cloud service providers (CSPs), digital services/SaaS providers, enterprise, cloud and public sector customers, independent software vendors (ISVs), system integrators (SIs), and managed service provider (MSP) partners to maximize utilization of Company product capabilities.
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Maintain an in-depth knowledge of machine learning and data science. Especially Amazon, GCP, Microsoft Azure, and Snowflake. The Platform Consultant will be an expert in articulating, differentiating, and positioning Verint DaVinci AI.
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Our division focuses on gathering, enriching, and processing data for Machine Learning in different AI domains. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world.
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