Technical Consultant

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

• Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.Required Professional and Technical Expertise
• Cloud Platform Engineering Exposure: Experience working with cloud platform engineering services.
• Technical Consulting Expertise: Exposure to technical consulting roles.
• Cloud Technologies: Experience with cloud platforms like GCP, AWS, and Azure, including their AI/ML services.
• Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
• ML Development: Experience with Machine Learning model development and deployment.
• AIML Frameworks: Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
  
  

Required Technical And Professional Expertise

Experience: 1-5 Years

• Troubleshooting Code Experience: 2 years of experience reading code in a general purpose coding language (e.g., Java, C, C , Python, Shell, Go or JavaScript, etc.) or in system design.
• AIML Experience: 2 Experience with Machine Learning model development and deployment.
• Troubleshooting Experience: 3 years of experience in troubleshooting, diagnosing, and resolving complex issues.
• Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues.
  
  

Preferred Technical And Professional Experience

• Cloud Service Models Knowledge: Familiarity with cloud service offerings, including infrastructure, platform, and software as a service (IaaS, PaaS, SaaS) models, to support the integration of Taos by IBM into OPES Practices.
• Technical Acquisition Exposure: Exposure to working with technical teams to support acquisition efforts, ensuring successful integration of new technologies into existing practices.
• Cloud Platform Architecture: Exposure to cloud platform engineering services, including architecture, deployment, and management of cloud-based systems, to support the development of a new skill taxonomy.