Ai / Ml Engineer

Pythian

Canada, Canada
Remote
Ai/ml pipeline development
Large language models (llms) integration
Cloud platform deployment (aws, gcp, azure)
Pythian empowers organizations to embrace transformation and leverage advanced technologies, including AI, to stay competitive in a rapidly changing digital economy

Job Summary

  • Pythian empowers organizations to embrace transformation and leverage advanced technologies, including AI, to stay competitive in a rapidly changing digital economy.
  • As an AI / ML Engineer, you will develop, deploy, and maintain scalable AI/ML pipelines and integrate advanced models such as LLMs into client and internal products.
  • The company offers a competitive total rewards package, flexible remote work, substantial training allowances, wellness budgets, and a supportive team culture.

Matching Summary

Pythian empowers organizations to embrace transformation and leverage advanced technologies, including AI, to stay competitive in a rapidly changing digital economy.

Skills & Requirements

Must-have

  • AI/ML pipeline development
  • Large Language Models (LLMs) integration
  • Cloud platform deployment (AWS, GCP, Azure)
  • Containerization with Docker and Kubernetes
  • ML frameworks like TensorFlow or PyTorch
  • MLOps practices including CI/CD and monitoring
  • Collaboration with data scientists and engineers

Nice-to-have

  • Strong communication and teamwork skills
  • Experience with Kubeflow or managed ML pipeline tools
  • Optimization of model performance and cost-efficiency
  • Familiarity with generative AI technologies
  • Interest in continuous learning and professional development

Key Requirements

  • Bachelor’s or Master’s degree in Computer Science or related field
  • 2 to 5 years of machine learning engineering experience
  • Experience deploying pre-trained LLMs and generative AI models
  • Proficiency in Python and ML/AI frameworks
  • Experience with cloud platforms and container orchestration
  • Knowledge of data engineering and version control systems
  • Familiarity with MLOps including CI/CD pipelines

Work Rights

Not specified

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