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SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe.
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Gather BI requirements, designs solutions, and collaborates with developers on their delivery. Collaborate with end users to identify needs and opportunities for improved data management and delivery through interactive real-time dashboards and key performance indicators using tools such as: Microsoft Power BI, SQL Server Reporting Services, SAP Crystal Reports, IBM Cognos, Qlik, or newly identified BI tools.
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We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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PSC advances science across a wide spectrum of fields, including artificial intelligence / machine learning, medical imaging, weather modeling, cell biology, and genomics. The successful candidate should have the ability to design, implement and maintain full stack web applications using technologies such as: Python Django or Ruby on Rails.
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
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Develop and maintain a threat intelligence program integrated with security operations. Experience in utilizing external threat intelligence and applying it to security tools for detection and prevention of security incidents required.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Develop and test threat actor emulation tools, tactics, and procedures for the Red Team to employ on-demand for assessments of security controls for application, systems, and network. Partner with threat intelligence team to ensure Red Team capabilities and tactics accurately emulate the current threat landscape.
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The Pittsburgh Penguins are currently seeking a Business Intelligence & Data Analytics intern for the fall of 2024. Preferred Technical Skills: Familiarity with business intelligence platforms (e.g. Tableau, Power BI, Looker, Domo.
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SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI.
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Pivot on the forensic data working with the global Cyber Threat Intelligence team to determine if the malware is part of a larger campaign, how Bosch is being targeted and take any further remediation required.
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Master's degree in computer science, statistics, mathematics, artificial intelligence or a related field. Bachelor's degree in computer science, statistics, mathematics, artificial intelligence, or a related field.
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Basic Qualifications Strong knowledge of deep learning and generative artificial intelligence High-level proficiency in Python Experience in TensorFlow and/or PyTorch Experience with LangChain, LlamaIndex, or similar frameworks Experience with techniques like fine-tuning and retrieval augmented generation Background in natural language processing algorithms Cloud computing experience.
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An ideal candidate for this role enjoys building scalable software solutions to challenging problems that span low level networking, video processing concepts, low-latency video on demand delivery systems, and the application of computer vision to youth sports video.
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Collaborate with IT Enterprise Architecture, Enterprise Platforms, Business Intelligence, Data Engineering, Data Quality and Data Governance stakeholders to: Develop processes for governing the identification, collection, and use of corporate metadata; Take steps to assure metadata accuracy and validity.
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