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Senior AI/ML Data Engineer Job Opening In California – Now Hiring Simarn Solutions


Job description

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.
  • Proficiency in Microsoft Azure services:

    • Azure Data Factory

    • Azure Synapse

    • Azure Databricks

    • Azure SQL

    • Event Hub

  • 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.

Required Skill Profession

Computer And Mathematical


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Simarn Solutions adheres to the cultural norms as outlined by Expertini.

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Simarn Solutions interview tips for Senior AI/ML Data Engineer

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Before the Interview:

Research: Learn about the Simarn Solutions's mission, values, products, and the specific job requirements and get further information about

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Final Thought:

To prepare for your Senior AI/ML Data Engineer interview at Simarn Solutions, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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