Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.
Your Role And Responsibilities
IBM Technology Client Engineering provides speed-to-value and innovation for our clients. We embed the IBM Garage methodology into the sales cycle to co-create and co-execute an initial iteration of an MVP with the purpose to land and grow our hybrid cloud platforms and establish IBM's technical eminence and expertise with our clients. We are a "demonstration and innovation team" that will prove IBM's technology and services through co-creation. This Garage experience will validate the technology or solution approach that leads to meaningful business outcomes for the client and align with IBM's AI and hybrid cloud strategy.
To meet role of AI Engineer requirements you will need to:
- Understand basic LLM and Generative AI
- Know how to leverage a variety of structured and unstructured data sources, analytics, AI tools, and programming languages to derive meaningful data insights (e.g., Python, R, Spark, TensorFlow, Jupyter, etc.)
- Teamwork in an Agile fashion, iterating on the design to react to client feedback
Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise
- Experience with a Data Science Programming language, such as Python or R
- Basic understanding Docker/Podman or Kubernetes
- RESTful-API related skills
- Presentation skill & demonstration skill
Preferred Technical And Professional Experience
- Know AIOps/MLOps/DataOps is a plus
This job is sourced from a job board