Senior MLOPs Engineer

Posted 8 months agoViewed

💎 Seniority level: Senior, Minimum of 6 to 8 years of relevant industry experience

🔍 Industry: Multicloud solutions

🏢 Company: Rackspace👥 1001-5000💰 Private over 7 years ago🫂 Last layoff about 2 years agoIaaS Big Data Cloud Computing Cloud Infrastructure

🗣️ Languages: English

⏳ Experience: Minimum of 6 to 8 years of relevant industry experience

🪄 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 leading 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 computer science concepts including algorithms, distributed systems, data structures, and database management.
Ability to tackle complex challenges and propose innovative solutions.
Experience in Apache Hadoop ecosystem and public cloud services like GCP and Vertex AI.
Proficient in Java, with recent hands-on experience.
In-depth understanding of LLM architectures and optimization techniques.

Responsibilities:

Architect and optimize existing data infrastructure to support machine learning and deep learning models.
Collaborate with cross-functional teams to translate business objectives into engineering solutions.
Own the end-to-end development and operation of high-performance, cost-effective inference systems for a range of models.
Provide technical leadership and mentorship to enhance team performance.

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