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Machine Learning Ops Engineer

Rackspace is recognised as a company of experts, delivering world-class cloud service and a superior support experience on the world’s leading technology platforms. As part of our commitment to our customers, we are dedicated to helping enable creative, automation-based solutions for all sizes of businesses and require experienced DevOps Engineers to join our new team in Poland.  This is a key role within our Professional Services team to deliver DevOps Engineering & Cloud consulting services into Rackspace’s Enterprise and SME clients. The ideal candidate will have strong, hands on technical skills, with the experience and consulting skills to understand, shape and deliver against our customers’ requirements.


MLOps provides an end-to-end machine learning development process to design, build, automate, and manage reproducible, testable and evolvable ML/AI software and data pipelines. It aims to support machine learning models, data pipelines, release cycles within CI/CD systems. MLOps Engineer is responsible for architecting and implementing Machine Learning production environments in conjunction with DevOps best practices, and internally establishing and developing MLOps practice and capabilities. 


Key Accountabilities:

  • Work with data scientists and assist them taking data science models prototypes to production via building automation and pipelines
  • Enhance and improve the code deployment and model monitoring frameworks and project operations documentation
  • Architect, Build and Test the infrastructure and tools to facilitate the consistent and automated AI/ML software solution development and release process (Data Engineering, Data Science and ML OPS)
  • Automating pipelines and tests that monitor quality both for the code (as in DevOps) and the data.
  • Improve and advance DataOps and MLOps infrastructure and operational processes. 
  • Develop internal MLOPS and DataOps practice and capabilities
  • Implement reusable materials, collaterals and patterns


Skills & Experience

  • Minimum of 3-5 years’ experience as a data scientist or as a machine learning engineer (ideally in a DevOps role)
  • Deep understanding of SRE fundamentals
  • Strong proficiency with Python, Scala and/or Go
  • Experience with AWS cloud provider (AWS Lambda, AWS Step Functions, AWS Glue, AWS SageMaker, Amazon Kinesis, Amazon EMR, Amazon Redshift, Amazon Batch)
  • Experience with Kubernetes (also AWS Fargate, AWS EKS)
  • Experience with ML Inference servers such as Triton, KFServing, or Seldon Core.
  • Experience with observability tools such as Prometheus, Thanos, Cortex or Sensu.
  • Experience with infrastructure as code tools such as Terraform, Cloudformation, Ansible, Puppet or Chef.
  • Knowledge of statistical and ML/AI methodologies is a plus
  • Knowledge and experience in AWS HPC is a plus


About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Company

Rackspace

Location

Poland, WarsawOnsite

Job type

Full-Time

Category

Machine Learning

Tags

AWSConsultingData pipelinesEngineering
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