Data Scientist-MLOps/LLMOps

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.

Your role and responsibilities

Role Overview:

• 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.

Required education

• Bachelor's Degree

Preferred education

• Master's Degree

Required technical and professional expertise

Skills Required:

• 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.