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Principal MLOPs Engineer (Canada)

Posted 2024-11-07

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💎 Seniority level: Principal, significant expertise

📍 Location: Canada

🔍 Industry: Machine Learning / Artificial Intelligence

⏳ Experience: Significant expertise

🪄 Skills: LeadershipPythonSoftware DevelopmentArtificial IntelligenceMachine LearningCross-functional Team LeadershipCommunication SkillsAnalytical SkillsCollaboration

Requirements:
  • Significant expertise in Machine Learning engineering.
  • Strong background in infrastructure related to ML.
  • Proven experience in building and scaling ML inference platforms in a production environment.
Responsibilities:
  • Architect, build, and optimize ML inference platform.
  • Focus on building Machine Learning inference systems.
  • Drive improvements to existing systems and processes.
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  • Proven track record in designing and implementing scalable ML inference systems.
  • Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
  • Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
  • Strong understanding of computer science concepts including algorithms and distributed systems.
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  • Experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
  • Expertise in public cloud services, particularly GCP and Vertex AI.
  • Understanding of LLM architectures and model optimization techniques.

  • Architect and optimize existing data infrastructure for machine learning and deep learning models.
  • Collaborate with cross-functional teams to translate business objectives into engineering solutions.
  • Own development and operation of high-performance inference systems for various models.
  • Provide technical leadership and mentorship to the engineering team.

LeadershipPythonApache HadoopGCPHadoopJavaKerasMachine LearningC++AlgorithmsData StructuresSparkTensorflowC (Programming language)

Posted 2024-08-14
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