Artificial Intelligence Engineer

7 days ago

Toronto, Ontario, Canada 559a79ac-9aa9-46bd-b827-ee4f27865f2c Full time $120,000 - $180,000 per year

Company Description

Algorithm Shift is an AI-powered platform that empowers businesses to design custom portals, workflows, dashboards, chatbots, and intelligent agents with a user-friendly low-code builder. The platform enables rapid development of enterprise-grade applications with flexible database options, seamless third-party integrations, and on-premise large language model (LLM) support. Trusted by organizations across industries like education, finance, and healthcare, Algorithm Shift facilitates process automation, AI-driven decision-making, and efficient scaling. We make innovation faster and more accessible by eliminating traditional development complexity.

Role Description

This is a full-time on-site role for an Artificial Intelligence Engineer based in Toronto, ON. The key responsibilities include designing, implementing, and optimizing AI models and algorithms with a focus on pattern recognition, neural networks, and natural language processing (NLP). Collaborating with software development teams to ensure seamless integration of AI solutions, the engineer will also work on exploring emerging AI technologies, analyzing their potential applications, and deploying AI-driven solutions to solve complex business problems.

Qualifications

  • Strong understanding of Machine Learning concepts, including Pattern Recognition and Neural Networks
  • Proficiency in Computer Science fundamentals such as algorithms, data structures, and distributed systems
  • Experience with Natural Language Processing (NLP) techniques and applications
  • Demonstrated expertise in Software Development, with proficiency in programming languages like Python, Java, or C++
  • Experience with AI-driven platforms and tools such as TensorFlow, PyTorch, or similar frameworks
  • Ability to work collaboratively in a team environment with cross-functional stakeholders
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field (Ph.D. is a plus)
  • Strong problem-solving skills, analytical thinking, and an innovative mindset
  • Experience in cloud platforms like AWS, Azure, or Google Cloud is a plus

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