Technical Consultant, Cloud Platform Engineering Services

IBM

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On-site
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Posted
1 day ago
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Confirmed live yesterday

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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

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As a Technical Consultant-Cloud Platform Engineering Services within IBM Consulting, you will join a team providing deep technical expertise to public and private sector clients. You will focus on cloud platform engineering services, where your daily work involves troubleshooting, diagnosing, and resolving complex issues while managing case lifecycles. The role requires a strong grasp of compute fundamentals, including virtualization, containerization, operating systems, and system administration. You will work with major cloud platforms such as GCP, AWS, and Azure, specifically utilizing AI/ML services like Vertex AI, Dialogflow, and Gemini. Technical requirements include experience in machine learning model development using frameworks like PyTorch, TensorFlow, Jax, or Ray. You must be proficient in reading code in languages such as Python, Java, C++, or Go to support the deployment of generative AI and large language models.

Skills

Generative AI LLM Vertex AI Dialogflow Gemini PyTorch TensorFlow Jax Ray AWS GCP Azure Python Java C++ Go Shell JavaScript Machine Learning Containerization Virtualization System Administration

What you'll do

  • Develop and deploy machine learning models using frameworks like PyTorch, TensorFlow, or Jax.
  • Manage and implement cloud platform engineering services across GCP, AWS, and Azure environments.
  • Build and integrate Generative AI solutions using tools such as Vertex AI, Dialogflow, and Gemini.
  • Troubleshoot, diagnose, and resolve complex technical issues within the system lifecycle.
  • Perform system administration tasks including virtualization, containerization, and operating system management.
  • Analyze and debug code written in general-purpose languages like Python, Java, C++, or Go.
  • Provide technical consulting to help clients adopt hybrid cloud and AI technologies.

What we're looking for

  • 1-5 years of experience in cloud platform engineering, technical consulting, and general professional expertise.
  • 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.
  • 2 years of experience in Machine Learning model development and deployment.
  • 2 years of experience reading code in a general purpose language or in system design.
  • 3+ years of experience in troubleshooting, diagnosing, and resolving complex issues.
  • Bachelor's Degree.

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