Technical Consultant-Cloud Platform Engineering Services

IBM; Baton Rouge (LA); On-site; USD 100,000 - 180,000; Full time

Job summary

IBM Consulting is seeking a specialist to advance cloud platforms, AI/ML initiatives, and technical consulting engagements. You will contribute to compute architecture, troubleshooting, and client-facing solutions in a fast-paced environment.

The role emphasizes collaboration with clients, preference for hands-on experience with GCP/AWS/Azure, Vertex AI, and open-source ML frameworks. A Bachelor's degree and 5+ years in related fields are desired.

Qualifications

• Deep understanding of compute concepts including virtualization, containerization, operating systems, and system administration.
• Experience with cloud platform engineering services and technical consulting roles.
• Experience with cloud platforms like GCP, AWS, and Azure and their AI/ML services.
• Experience with Generative AI and Google Cloud products (Vertex AI, Dialogflow, Gemini).
• Experience with ML model development and deployment.
• Experience with deep learning frameworks (PyTorch, TensorFlow, Jax, Ray) and AI accelerators (TPUs, GPUs).
• Familiarity with troubleshooting, diagnosing, and resolving complex issues.
• Experience with support methodologies, case lifecycles, and analytical problem-solving

Responsibilities

• Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.

Skills

Cloud platform engineering

Technical consulting

Cloud technologies

Generative AI

Machine learning development

AIML frameworks

Troubleshooting code

Support experience

Education

Bachelor's degree

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.

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

Your Role and Responsibilities

• Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.

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.

Experience: 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 Education

Bachelor's Degree

Required Technical And Professional Expertise

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.

Experience: 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.
• Technical Consulting Familiarity: Familiarity with technical consulting roles.