Data Scientist-MLOps/LLMOps

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience

Role Overview

Your role and responsibilities

Hiring an ML Engineer with experience in Cloudera ML to support end-to-end model development, deployment, and monitoring on the CDP platform.

Key Responsibilities

• Develop and deploy models using CML workspaces
• Build CI/CD pipelines for ML lifecycle
• Integrate with governance and monitoring tools
• Enable secure model serving via REST APIs
  
  

Preferred Education

Master's Degree

Skills Required

Required technical and professional expertise

• Experience in Cloudera ML, Spark MLlib, or scikit-learn
• ML pipeline automation (MLflow, Airflow, or equivalent)
• Model governance, lineage, and versioning
• API exposure for real-time inference