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Principal MLOPs Engineer (Canada)

Posted 5 months agoViewed

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💎 Seniority level: Principal, 10+ years with a Bachelor's degree or 8+ years with a Master's degree

📍 Location: Canada

🔍 Industry: Multicloud solutions and technology services

🏢 Company: Rackspace👥 1001-5000💰 Private over 7 years ago🫂 Last layoff almost 2 years agoIaaSBig DataCloud ComputingCloud Infrastructure

🗣️ Languages: English

⏳ Experience: 10+ years with a Bachelor's degree or 8+ years with a Master's degree

🪄 Skills: LeadershipPythonApache HadoopGCPHadoopJavaKerasMachine LearningC++AlgorithmsData StructuresSparkTensorflowC (Programming language)

Requirements:
  • 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.
  • Proficiency and recent experience in Java is required.
  • 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.
Responsibilities:
  • 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.
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