Principal MLOps Engineer

March 27

Apply Now

Receive Emails with Similar Jobs

Rackspace Technology

WebsiteLinkedInAll Job Openings

Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

IT as a Service • Multi-Cloud • Managed Hosting • Managed AWS/Azure/Google Cloud Platform/OpenStack/Alibaba • Managed Private Cloud for VMware/Microsoft/OpenStack

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.

🎯 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. • 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. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals. • Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce). • Expertise in public cloud services, particularly in GCP and Vertex AI.

🏖️ Benefits

• Information on benefits offered is here.