DevOps Engineer

JOB TITLE: Devops Engineer (ML Projects)

POSITION: Contract - (12+ Months)

LOCATION: Dallas TX Onsite from DAY 1

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

Mandatory Skills: 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.

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