Technical Consultant

IBM; Santa Clara (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

IBM Consulting is hiring to help clients shape hybrid cloud and AI journeys with IBM technology and Red Hat. You’ll work with leading companies, building long-term relationships and delivering measurable impact.

You’ll collaborate on cloud platforms, AI/ML solutions, and technical consulting to drive meaningful change while supporting career development and growth within a diverse team.

Qualifications

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

Responsibilities

• Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
• 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.
• Reading Code: 2 years of experience reading code in a general purpose coding language or in system design.
• AIML & Troubleshooting: 2 years ML deployment; 3+ years troubleshooting.

Skills

Troubleshooting Code

AIML Experience

Troubleshooting Experience

Support Experience

Cloud Platform Engineering

Generative AI

ML Development

Technical Consulting

Job description

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.

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.
• 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.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.
  

Required Professional and Technical 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 Platform Engineering Knowledge: Exposure to cloud platform engineering services, including experience working with skill taxonomies and integrating new offerings, would be beneficial in this role.
• Technical Consulting Familiarity: Familiarity with technical consulting roles, particularly in creating comprehensive skill taxonomies and supporting acquisition efforts, would be an asset.
• Taxonomy Development Exposure: Exposure to developing new skill taxonomies, with the ability to create comprehensive frameworks to support knowledge transfer and skill utilization, would be advantageous.