Remote Principal Machine Learning Engineer

Summary

The job is for a Principal Machine Learning Engineer to architect, build, and optimize an ML inference platform at Rackspace Technology. The role requires expertise in machine learning engineering, deep learning frameworks, computer science concepts, programming languages, and remote work. A relevant degree or equivalent industry experience is required.

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 fundamental computer science concepts including algorithms, distributed systems, data structures, and database management
• Expert-level proficiency in at least one programming language such as Java, Python, or C++
• Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions
• Worked effectively in a remote setting, maintaining strong written and verbal communication skills
• Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce)
• Expertise in public cloud services, particularly in GCP and Vertex AI

Responsibilities

• Architect and optimize our existing data infrastructure to support cutting-edge 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 a diverse range of models

Preferred Qualifications

A specialization in Machine Learning is preferred