Principal AI Engineer

4 weeks ago

Montreal, Canada Xsolla Inc. Full time

We are searching for a Principal AI Engineer to lead our most ambitious AI-driven projects. In this role, you will shape the future of AI at Xsolla by developing and deploying advanced AI models and systems. You’ll work with innovative tools such as Generative AI and LLaMA APIs from Meta to push the boundaries of what’s possible. Your leadership and technical depth will guide the AI strategy from concept through production, working closely with cross-functional teams to deliver breakthrough AI solutions.


RESPONSIBILITIES
  • Conduct research to advance the state-of-the-art in AI, focusing on Generative AI.
  • Lead the design, development, and deployment of AI models and solutions.
  • Collaborate with data scientists, engineers, and product managers to integrate AI solutions into products and services.
  • Work with APIs for AI models, such as LLaMA from Meta, to enhance and customize AI functionalities.
  • Mentor and guide junior engineers, fostering a culture of innovation and collaboration.
  • Ensure the scalability, performance, and reliability of AI models and systems.
  • Develop and maintain documentation related to AI models, algorithms, and systems.
  • Communicate complex technical concepts and solutions to stakeholders clearly and effectively.
  • Drive the adoption of best practices in AI and machine learning across the organization.
REQUIREMENTS
  • Extensive experience with AI frameworks and libraries.
  • Proven experience as a Principal AI Engineer, AI Scientist, or similar senior role.
  • Strong understanding of Generative AI techniques and models.
  • Experience working with APIs for AI models, such as LLaMA from Meta.
  • Strong understanding of statistical methods, data structures, and algorithms.
  • Proficiency in designing and implementing deep learning models.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Excellent problem-solving skills and the ability to develop creative solutions.
  • Experience with cloud platforms and tools for AI and machine learning.
  • Ability to work in a fast-paced and dynamic environment.
  • Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent work experience.
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