Technical Consultant-Cloud Platform Engineering Services

IBM; Baton Rouge (LA); On-site; USD 110,000 - 160,000; Full time

Job summary

IBM Consulting seeks a Technical Consultant in Cloud Platform Engineering Services to advance client hybrid cloud and AI initiatives. You will apply compute fundamentals, manage cloud platforms, and leverage generativeAI capabilities to deliver scalable ML solutions.

You will collaborate with cross-functional teams, implement AI/ML models, and contribute to framework development that accelerates client outcomes. This role emphasizes hands-on engineering and practical problem solving at scale.

Qualifications

• Bachelor's degree required.
• Experience with cloud platforms (GCP, AWS, Azure) and AI/ML services.
• Familiarity with generative AI, LLMs, and AI/ML frameworks.

Responsibilities

• Demonstrate compute fundamentals: virtualization, containerization, OS, and system administration.
• Experience with cloud platforms (GCP, AWS, Azure) and their AI/ML services.
• Demonstrate Generative AI experience with LLMs and Google Cloud products (Vertex AI, Dialogflow, Gemini).
• Develop and deploy machine learning models and pipelines.
• Work with AIML frameworks, accelerators, model architectures, and ML APIs.

Skills

Compute Fundamentals

Cloud Technologies

Generative AI Experience

ML Development

AIML Frameworks

Education

Bachelor's Degree

Tools

Vertex AI

Dialogflow

Gemini

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

As a Technical Consultant in Cloud Platform Engineering Services:

Your Primary Responsibilities Will Include

• Compute Fundamentals: Demonstrating a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
• Cloud Technologies: Demonstrate experience with cloud platforms like GCP, AWS, and Azure, including their AI/ML services.
• Demonstrate Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
• ML Development: Demonstrate experience with Machine Learning model development and deployment.
• AIML Frameworks: Demonstrate 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.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Exposure to Cloud Platforms: Familiarity with cloud platform engineering services, including architecture, deployment, and management of cloud-based systems.
• Experience with Skill Taxonomies: Knowledge of skill taxonomy development and implementation, including categorization, mapping, and maintenance of technical skills.
• Integration Expertise: Exposure to integrating new offerings into existing practices, ensuring minimal disruption and optimal results.
• Cloud Service Offerings: Familiarity with cloud service offerings, including infrastructure, platform, and software as a service (IaaS, PaaS, SaaS) models.
• Compute Fundamentals: Demonstrating a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
• Cloud Technologies: Demonstrate experience with cloud platforms like GCP, AWS, and Azure, including their AI/ML services.
• Demonstrate Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
• ML Development: Demonstrate experience with Machine Learning model development and deployment.
• AIML Frameworks: Demonstrate 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.

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.
• 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.