MLOps/LLMOps Architect designing AI solutions for a next - gen AI platform in Canada. Collaborating with teams on architecture, deployment, and governance in AI environments.
About the role
- Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
Responsibilities
- Design, develop, and deploy Cresta’s KA solutions and proprietary models.
- Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios.
- Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions 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 KA.
- Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.
Requirements
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow).
- Strong understanding of machine learning fundamentals and generative modeling.
- Ability to design and analyze experiments involving large-scale datasets.
- Work authorization in the country of employment at the time of hire.
Benefits
- Lunch can be expensed (up to $25) while working in the office.
- PTO: 4 days
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