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Principal MLOPs Engineer

Posted 2024-08-09

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💎 Seniority level: Principal, Minimum of 8+ years for Master's degree or 10+ years for Bachelor's degree

🔍 Industry: Technology / Multicloud solutions

🏢 Company: Rackspace👥 1001-5000💰 $ Private on 2017-09-11🫂 on 2023-03-27IaaSBig DataCloud ComputingCloud Infrastructure

🗣️ Languages: English

⏳ Experience: Minimum of 8+ years for Master's degree or 10+ years for Bachelor's degree

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

Requirements:
  • Proven track record in designing and implementing cost-effective and scalable ML inference systems.
  • Hands-on experience with deep learning frameworks like TensorFlow, Keras, or Spark MLlib.
  • Strong foundation in machine learning algorithms, natural language processing, and statistical modeling.
  • Fundamental computer science concepts knowledge, including algorithms, distributed systems, and database management.
  • Experience in the Apache Hadoop ecosystem and public cloud services, specifically GCP and Vertex AI.
  • Demonstrated ability to tackle complex challenges and develop innovative solutions.
  • Proficiency in Java and understanding of model optimization techniques.
  • Technical degree: Bachelor's in Computer Science with minimum 10 years of experience or a Master's with 8 years, preferably with a specialization in Machine Learning.
Responsibilities:
  • Architect and optimize existing data infrastructure for machine learning and deep learning models.
  • Collaborate with cross-functional teams to convert business objectives into engineering solutions.
  • Manage the development and operation of high-performance inference systems for various models, including large language models.
  • Provide technical leadership and mentorship to the engineering team.
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