Senior Data and AI Engineer

About the job

• Design, develop, and maintain robust, scalable, and efficient data pipelines to ingest, transform, and serve data for AI/ML and analytics workloads. • Architect and maintain scalable, secure, and low-latency data pipelines and systems to support agentic AI applications. • Partner with Data Science teams to support model training, feature engineering, and deployment processes. • Optimize data storage, compute, and retrieval strategies for unstructured data. • Support MLOps workflows by enabling model deployment, monitoring, and versioning pipelines.

Requirements

• Data Engineering
• Python
• SQL
• MLOps

Qualifications

• Bachelor’s or Master’s in Computer Science, Information Technology, Engineering or related field

Preferred Technologies

• Data Engineering
• Python
• SQL
• MLOps

About the company

At Danaher, the work saves lives through innovative science and technology across various sectors including life sciences, diagnostics, and biotechnology. Their India Development Center collaborates globally to enhance product development.