Company Description

ID Privacy AI is a leader in secure agentic development for enterprises, offering cutting-edge AI solutions that prioritize privacy. With its innovative Native AI-as-a-Service platform, organizations can quickly build, deploy, and fine-tune fully encrypted AI models while ensuring sensitive data remains secure within their environments. Providing privacy-centered solutions for advanced AI needs, ID Privacy AI shapes the future of business AI with applications ranging from conversational AI and agent-based solutions to audience modeling and deployment tools. The company’s flagship deep learning model, "Alice," simplifies AI model development, making it accessible to enterprises. At ID Privacy AI, the mission is to redefine global AI privacy standards while improving operational efficiency and model effectiveness.

Role Description

This is a full-time remote position for an Artificial Intelligence Engineer. In this role, you will design, develop, and implement innovative AI models, focusing on privacy-centric solutions. Responsibilities include working with neural networks, developing state-of-the-art natural language processing systems, and implementing cutting-edge patterns in machine learning and AI development. You will also collaborate with cross-disciplinary teams to integrate AI models into business workflows and leverage your expertise to support the optimization and customization of AI solutions for enterprise use cases.

Qualifications

* 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.

* 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.