Cloud Machine Learning Expert

Qualifications

• Bachelor's degree in a related field and 4 years of experience in Cloud Engineering or equivalent qualifications

• Experience with Python programming language and transforming legacy code into cloud-native microservices

• 2 years of experience managing AI services within one cloud platform (e.g., GCP, Azure, AWS)

• Experience with container services and orchestration (e.g., GKE, EKS, AKS, ECS)

• Experience in common machine learning, deep learning, and LLM frameworks

• Experience with Terraform for Infrastructure as Code (IaC)

Benefits

• We believe in empowering our employees to build a better future and offer a comprehensive benefits package, including health insurance, retirement planning, and paid time off

Responsibilities

• As a key member of our organization, you'll be responsible for designing, developing, and implementing cutting-edge AI solutions across multiple cloud platforms

• Your expertise in machine learning, deep learning, and large language models will enable us to solve complex business problems and drive growth

• You'll work closely with our data engineers and data scientists to build end-to-end AI pipelines, implement MLOps practices, and use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects

• Your experience with container services and orchestration, as well as your knowledge of common machine learning, deep learning, and LLM frameworks, will be essential to the success of our team

• Design and develop AI and machine learning solutions using cloud-based managed AI services

• Implement and manage robust monitoring systems for AI/ML models in production environments

• Collaborate with cross-functional teams to deploy model updates, maintain version control, and optimize model efficiency

• Containerize AI applications and deploy them using cloud orchestration services

• Collaborate with data engineers and data scientists to build end-to-end AI pipelines

• Implement MLOps practices to streamline the development, deployment, and monitoring of AI models

• Use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects

Full Description

Job Summary

We're seeking a talented Senior AI/ML Cloud Engineer to join our team.

As a key member of our organization, you'll be responsible for designing, developing, and implementing cutting-edge AI solutions across multiple cloud platforms.

Your expertise in machine learning, deep learning, and large language models will enable us to solve complex business problems and drive growth.

About theRole

You'll work closely with our data engineers and data scientists to build end-to-end AI pipelines, implement MLOps practices, and use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects. Your experience with container services and orchestration, as well as your knowledge of common machine learning, deep learning, and LLM frameworks, will be essential to the success of our team.

Responsibilities

Design and develop AI and machine learning solutions using cloud-based managed AI services

Implement and manage robust monitoring systems for AI/ML models in production environments

Collaborate with cross-functional teams to deploy model updates, maintain version control, and optimize model efficiency

Containerize AI applications and deploy them using cloud orchestration services

Collaborate with data engineers and data scientists to build end-to-end AI pipelines

Implement MLOps practices to streamline the development, deployment, and monitoring of AI models

Use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects

Requirements

Bachelor's degree in a related field and 4 years of experience in Cloud Engineering or equivalent qualifications

Experience with Python programming language and transforming legacy code into cloud-native microservices

2 years of experience managing AI services within one cloud platform (e.g., GCP, Azure, AWS)

Experience with container services and orchestration (e.g., GKE, EKS, AKS, ECS)

Experience in common machine learning, deep learning, and LLM frameworks

Experience with Terraform for Infrastructure as Code (IaC)

Our Culture

Cox Communications is committed to creating a workplace culture that values diversity, equity, and inclusion. We believe in empowering our employees to build a better future and offer a comprehensive benefits package, including health insurance, retirement planning, and paid time off.