Hi
We are looking
Role : AI/ML + Data Architect ( Snowflake, ETL, AWS and AI/ML)
Location : Torrance, CA ( DAY 1 Onsite) contract
In Person interview must
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.
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Thanks & Regards,
Kavin
https://www.linkedin.com/in/kavin-r-4aab08240/
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E: ka...@rdsolutionsinc.com NMSDC Certified | Certified MBE Company |
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