Senior AI/ML Data Engineer
Simarn, Inc.
- California, Maryland, United States
- California, Maryland, United States
À propos
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.
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.
Azure Services Proficiency
Event Hub
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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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