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Clean, preprocess, and transform raw data into a suitable format for machine learning models. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML) , and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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LaSalle Network is currently partnered with a pioneering infrastructure as a service provider committed to technological excellence in artificial intelligence, machine learning and blockchain solutions.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Design, develop, and implement automation and robotics solutions, including but not limited to robotic process automation (RPA), machine learning, artificial intelligence, and other advanced technologies.
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Job Title: Machine Learning Data Analyst. Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions, to solve business problems, and to create value by leveraging client data.
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Technical Acumen: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Job Responsibilities: Team Leadership and Development:Lead, mentor, and develop a team of data scientists and machine learning engineers. Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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IT services for Communications Industry, OSS/BSS, NMS offerings, M2M, IoT Offerings, DevOps & Remote Infrastructure Management, Business Process Services, Analytics, Artificial Intelligence, Robotic Process Automation, Software Defined Networking, Network Functions Virtualisation, Intelligent Automation, Customer Experience, Consulting, Telco Services, Microservices, Agile delivery, and Customer Experience Portal.
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You are passionate about emerging technologies such as artificial intelligence, blockchain, and robotics. Coworking membership at Capital Factory with garage parking space, metro pass, or rideshare credits and access to the onsite gym.
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Works with the Training Managers to analyze, design, develop and support implementation of specialized learning solutions based on business needs, as well as provide guidance for data gathering and measurement.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Minimum of five years of experience with Natural Language data collection analysis and tagging, grammar analysis, NLU development, and directed dialog grammar development.
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As a Power BI Developer, you will be responsible for designing, developing, and maintaining business intelligence solutions using Microsoft Power BI. A successful candidate will work closely with stakeholders to understand business requirements, create interactive and insightful reports and dashboards, and contribute to data-driven decision-making within the organization.
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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
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artificial intelligence machine learning jobs Title: data Company: Capital One in Dallas, TX
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