Senior AI / ML Data Engineer

About the job Senior AI / ML Data Engineer

Job Title : Senior AI / ML Data Engineer

Location : California (Onsite)

Job Type : C2C

Position Overview

We are seeking a highly skilled Senior AI / ML Data Engineer with expertise in multimodal AI models, vector databases, and Azure-based data engineering solutions. The candidate will lead design and implementation of scalable AI-driven data platforms, integrating advanced ML pipelines with modern cloud architectures.

This is a client-facing, onsite role in California, requiring both technical depth and leadership ability to deliver enterprise-grade AI / data solutions.

Key Responsibilities

• Design, build, and optimize AI / ML pipelines using multimodal models (CLIP, BLIP, Whisper, or similar)
• Implement vector database solutions (FAISS, Milvus, Weaviate) and embedding pipelines for retrieval-augmented systems.
• Develop and maintain data ingestion, ETL, and streaming solutions using Microsoft Fabric, Azure Data Factory, Event Hub, and Kafka.
• Architect, implement, and optimize Azure-based solutions, including Azure Synapse, Databricks, and Azure SQL.
• Write efficient SQL, Python, and Spark code for data transformation, ML feature engineering, and analytics.
• Use infrastructure-as-code (Terraform, ARM templates) for automated deployment and environment consistency.
• Collaborate with cross-functional teams (data science, cloud, and business stakeholders) to translate requirements into scalable solutions.
• Ensure data governance, compliance, and security best practices are applied across all platforms.

Required Skills & Qualifications

Azure Data Factory

Nice to Have