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ID Privacy AI · 8 hours ago

Artificial Intelligence Engineer

United States

Full-time

Remote

Mid Level

ID Privacy AI is a leader in secure agentic development for enterprises, offering cutting-edge AI solutions that prioritize privacy. In this role, you will design, develop, and implement innovative AI models, focusing on privacy-centric solutions and collaborating with cross-disciplinary teams.

Ad NetworkArtificial Intelligence (AI)Data ManagementGenerative AIHealth CareMachine LearningMarketingMedia and EntertainmentNatural Language ProcessingPrivacy

Responsibilities

Design, develop, and implement innovative AI models, focusing on privacy-centric solutions

Work with neural networks, developing state-of-the-art natural language processing systems

Implement cutting-edge patterns in machine learning and AI development

Collaborate with cross-disciplinary teams to integrate AI models into business workflows

Leverage expertise to support the optimization and customization of AI solutions for enterprise use cases

Qualification

Pattern RecognitionNeural NetworksNatural Language ProcessingDeep Learning FrameworksSoftware DevelopmentAnalytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills

Required

Strong knowledge of Pattern Recognition and Neural Networks, with the ability to design and implement effective machine learning models

Background in Computer Science with proficiency in algorithms, data structures, and system design

Experience in Software Development, including coding, debugging, and collaborative development processes

Expertise in Natural Language Processing (NLP) and familiarity with modern NLP frameworks and libraries

Ability to work remotely and effectively collaborate with diverse teams in a fast-paced environment

Strong analytical, problem-solving, and communication skills to address complex technical challenges

Preferred

Experience in deep learning frameworks, such as TensorFlow or PyTorch, is a plus

Master's or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related technical field (or equivalent experience) is preferred