Machine Learning Engineer (AI Agents) job opportunity at CRESTA.

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CRESTA Machine Learning Engineer (AI Agents)
Experience: 4-years
Pattern: remote
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Engineering

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degreeMaster's (M.Sc.)
loacation Toronto, Canada
loacation Toronto....Canada

At #Cresta, the #AI #Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (#LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. This role will involve hands-on work on cutting-edge projects, requiring innovative and passionate machine learning engineers who can bring research into practical, scalable applications. __ As a #Machine #Learning #Engineer, your goal will be to take AI Agents from the realm of research and bring them into practical, real-world use cases. This includes developing and deploying proprietary LLMs, scaling AI solutions, and addressing key challenges such as evaluation and reliability. While we’re focused on real-world #application rather than pure #research, you’ll be working with some of the most advanced technologies in the #GenAI space. __ This is a unique opportunity to shape the future of #AI at #Cresta by solving complex problems and bringing breakthrough AI advancements into production environments __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. __ Qualifications We Value: Bachelor’s or Master's Degree in Computer Science, Mathematics, or a related field 2+ years of hands-on industry experience with AI and machine learning, preferably with experience working with LLMs in large-scale production environments Solid knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs 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

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