Sr Subject Matter Expert (Support&Ops)

About the role

Design scalable and secure data platform blueprints (e.g., Lakehouse, Data Mesh, or Data Fabric) that support diverse AI workloads, including generative AI and classical machine learning.Building scalable, cloud-native storage and processing frameworks (data lakes, lakehouses) capable of handling massive datasets for model training

What you'll do

• Develop specific architectures for AI-driven workflows, including feature stores , real-time data streaming (Kafka/Spark), and automated machine learning pipelines
• Oversee the end-to-end data lifecycle, from high-fidelity data acquisition and cleaning to preprocessing and model serving.Data Pipeline Automation: Creating end-to-end…

What you need

• Data privacy
• MLOps
• Machine learning
• Kafka
• Spark
• IoT
• Any graduate

Good to have

• LLMs