Senior AIML Data Engineer
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Job Location:
California, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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
- Hands-on experience with AI/ML multimodal models (CLIP BLIP Whisper or similar).
- Strong proficiency in Python for AI/ML and automation workflows.
- Experience with vector databases (FAISS Milvus Weaviate) and embedding pipelines.
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Proficiency in Microsoft Azure services:
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Azure Data Factory
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Azure Synapse
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Azure Databricks
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Azure SQL
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Event Hub
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- Experience in data streaming platforms (Azure Event Hubs Kafka).
- Strong skills in SQL and Spark for large-scale data engineering.
- Experience with infrastructure-as-code (Terraform ARM templates).
- Strong problem-solving debugging and performance optimization skills.
- Excellent communication skills with ability to mentor junior engineers and engage with stakeholders.
Nice to Have
- Experience with Oracle PL/SQL and hybrid database ecosystems.
- Knowledge of data warehousing data modeling and governance frameworks.
- Exposure to MLOps frameworks and enterprise-grade AI deployment.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
