Oremda Infotech Inc
AI/ML + Data Architect ( Snowflake, ETL, AWS and AI/ML)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML + Data Architect in Torrance, CA, with a contract length of "unknown" and a pay rate of "unknown." Key skills include AWS, Snowflake, ETL, and AI frameworks. AWS certifications are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
June 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Torrance, CA
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🧠 - Skills detailed
#Data Architecture #Langchain #Data Privacy #Security #Cloud #Lambda (AWS Lambda) #VPC (Virtual Private Cloud) #Data Lake #Automation #Data Engineering #S3 (Amazon Simple Storage Service) #Data Lakehouse #Strategy #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #Terraform #Data Framework #Apache Spark #PyTorch #Databricks #Snowflake #AI (Artificial Intelligence) #SageMaker #TensorFlow #Deployment #Data Processing #AWS (Amazon Web Services) #Infrastructure as Code (IaC) #Spark (Apache Spark) #Redshift #IAM (Identity and Access Management) #ML (Machine Learning)
Role description
Role - AI/ML + Data Architect ( Snowflake, ETL, AWS and AI/ML)
Location - Torrance, CA ( DAY 1 Onsite)
JD -
Enterprise Data and AI Architect to drive the Data and AI initiatives from ideation , design and deployment.
Key Responsibilities: · AI/ML Strategy: Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics. · AWS Cloud Governance: Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps). · Data Mesh & Analytics: Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making. · AI Ethics & Security: Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed.
Required Skills: · Cloud Platform: Proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS). · Data Frameworks: Experience with Snowflake, Databricks, or Apache Spark for large-scale data processing. · AI Frameworks: Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows. · Automation: Strong background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation.
Preferred Qualifications: · AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer). · Analytics Background: Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes. · AI Integration: Experience moving AI projects from "Proof of Concept" (PoC) to full-scale enterprise production.
Role - AI/ML + Data Architect ( Snowflake, ETL, AWS and AI/ML)
Location - Torrance, CA ( DAY 1 Onsite)
JD -
Enterprise Data and AI Architect to drive the Data and AI initiatives from ideation , design and deployment.
Key Responsibilities: · AI/ML Strategy: Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics. · AWS Cloud Governance: Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps). · Data Mesh & Analytics: Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making. · AI Ethics & Security: Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed.
Required Skills: · Cloud Platform: Proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS). · Data Frameworks: Experience with Snowflake, Databricks, or Apache Spark for large-scale data processing. · AI Frameworks: Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows. · Automation: Strong background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation.
Preferred Qualifications: · AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer). · Analytics Background: Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes. · AI Integration: Experience moving AI projects from "Proof of Concept" (PoC) to full-scale enterprise production.
