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Staff Machine Learning Engineer (Virtual Agents)

Posted 2024-10-24

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💎 Seniority level: Staff, 7+ years

📍 Location: Canada

🔍 Industry: Artificial Intelligence

🏢 Company: Cresta

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: LeadershipMachine LearningNumpyPyTorchTensorflowProblem SolvingMentoring

Requirements:
  • Bachelor’s Degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. preferred, or equivalent professional experience.
  • 7+ years of hands-on industry experience with AI and machine learning, preferably with 3+ years of experience working with LLMs in large-scale production environments.
  • Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs.
  • Proven leadership in designing and deploying AI solutions at scale, with a deep understanding of model optimization and real-time AI applications.
  • Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy), as well as experience with distributed systems and cloud-based AI infrastructure.
  • Strong problem-solving and strategic thinking abilities, with a proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production.
  • A passion for driving AI adoption and pushing the boundaries of AI technology into real-world applications, with an ability to mentor junior engineers and influence strategic decisions across the organization.
Responsibilities:
  • Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models.
  • Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios.
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions.
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents.
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.
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