Technical Consultant

IBM Computing; Hopewell Junction (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

IBM Consulting is seeking professionals to advance hybrid cloud and AI initiatives for clients worldwide. The role emphasizes deep compute fundamentals, cloud platform engineering, and hands-on ML deployment across multiple cloud providers.

You will work with teams to advance cloud technologies, generative AI capabilities, and scalable ML solutions while delivering measurable client impact and technical leadership.

Qualifications

• 1-5 years experience in cloud/platform engineering or related fields.
• Experience with AI/ML services on cloud platforms.
• Familiarity with ML frameworks and deployment workflows.

Responsibilities

• Support compute fundamentals including virtualization, containers, OS, and system administration.
• Collaborate with teams to design, build, and scale cloud-based solutions.
• Contribute to AI/ML model development and deployment pipelines.

Skills

Cloud Platform Eng

Technical Consulting

Cloud Technologies

AIML & LLM

ML Development

ML Frameworks

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.

Your role and responsibilities

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

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.

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.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.