MLOps Engineer

K-Tek Resourcing LLC
Richardson, TX
02 Aug 2024

Vacancy expired!

Job Description:

About the jobThis position is to build the machine learning production infrastructure (or MLOps) from scratch for enterprise customers. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier, and you will be part of a team deploying state-of-the-art ML solutions.

Responsibilities
  • Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
  • Take offline models data scientists build and turn them into a real machine learning production system
  • Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Support model development, with an emphasis on auditability, versioning, and data security
  • Facilitate the development and deployment of proof-of-concept machine learning systems
  • Communicate with clients to build requirements and track progress

Qualifications
  • Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
  • Strong software engineering skills in complex, multi-language systems
  • Fluency in Python
  • Experience working with Sagemaker
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
  • Comfort with Linux administration
  • Experience working with cloud computing and database systems
  • Experience building custom integrations between cloud-based systems using APIs
  • Experience developing with containers and Kubernetes in cloud computing environments
  • Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
  • Ability to translate business needs to technical requirements
  • Strong understanding of software testing, benchmarking, and continuous integration
  • Exposure to machine learning methodology and best practices
Other requirements
  • Ability to work from client location in Dallas for at least 4 days a week
  • ID: #44526765
  • State: Texas Richardson 75080 Richardson USA
  • City: Richardson
  • Salary: Depends on Experience
  • Job type: Permanent
  • Showed: 2022-08-02
  • Deadline: 2022-09-25
  • Category: Et cetera