Technical Consultant, Cloud Platform Engineering Services

IBM

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Posted
1 day ago
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Confirmed live yesterday

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How this pay compares to similar roles

Similar $167k
$108k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $134,539–$200,341.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 387 open roles on FindRole.

Listed pay typically runs $178,728–$228,350 across 6 roles with salary data.

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TL;DR · Technical Consultant, Cloud Platform Engineering Services

As a Technical Consultant-Cloud Platform Engineering Services within IBM Consulting, you will provide deep technical expertise to public and private sector clients to drive innovation and technology adoption. You will manage the architecture, deployment, and management of cloud-based systems while developing new skill taxonomies through categorization and mapping. Your daily work involves managing compute fundamentals like virtualization, containerization, and system administration across GCP, AWS, and Azure platforms. You will build and deploy machine learning models using frameworks such as PyTorch, TensorFlow, Jax, and Ray. Additionally, you will work with AI accelerators like GPUs and TPUs, utilizing model architectures including transformers, encoders, and decoders. The role specifically addresses the integration of generative AI services, including Vertex AI, Dialogflow, and Gemini, to solve complex technical challenges within hybrid cloud and AI environments.

What you'll do

  • Manage cloud platform engineering services including architecture, deployment, and management of cloud-based systems.
  • Implement and maintain technical skill taxonomies through categorization and mapping.
  • Integrate new service offerings into existing practices to ensure minimal disruption.
  • Develop and deploy machine learning models using frameworks like PyTorch, TensorFlow, or Jax.
  • Utilize Generative AI tools and products such as Vertex AI, Dialogflow, and Gemini.
  • Manage core compute infrastructure including virtualization, containerization, and system administration.
  • Support client hybrid cloud and AI journeys across various industries.

What we're looking for

  • Deep understanding of compute concepts including virtualization, containerization, operating systems, and system administration.
  • Experience with cloud platforms such as GCP, AWS, and Azure, including their AI/ML services.
  • Experience with Generative AI, LLMs, and Google Cloud products like Vertex AI, Dialogflow, and Gemini.
  • Experience in Machine Learning model development and deployment.
  • Experience with deep learning frameworks (PyTorch, TensorFlow, Jax, Ray), AI accelerators, and machine learning APIs.
  • Knowledge of skill taxonomy development and implementation including categorization and mapping.
  • Exposure to integrating new offerings into existing practices and familiarity with IaaS, PaaS, and SaaS models (preferred).
  • Bachelor's Degree.

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