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Senior MLOPs Engineer

Posted 2024-08-09

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💎 Seniority level: Senior, minimum of 8 years for Bachelor's degree or at least 6 years for Master's degree

🔍 Industry: Technology 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 Bachelor's degree or at least 6 years for Master'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 such as TensorFlow, Keras, or Spark MLlib.
  • Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
  • Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management.
  • Expertise in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
  • Proficiency in public cloud services, particularly GCP and Vertex AI.
  • Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.
  • Proficiency and recent experience in Java.
  • In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.
Responsibilities:
  • Architect and optimize the existing data infrastructure to support machine learning and deep learning models.
  • Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.
  • Own the end-to-end development and operation of high-performance, cost-effective inference systems for various models, including LLMs.
  • Provide technical leadership and mentorship to foster a high-performing engineering team.
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