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Cloud Data Migration & AI Systems Engineer

Full-time
Remote
Skills
Machine Learning
Cloud
Cloud
Cloud Migration
QA
Overview

We are looking for a Cloud Data Migration & AI Systems Engineer to work on cloud-based data systems, migration workflows, and AI-driven applications. This role involves designing and validating data pipelines, supporting data migration efforts, and integrating LLM-based capabilities into workflows, while ensuring system reliability, performance, and quality.


Responsibilities:

  • Design and support data migration workflows across cloud platforms (AWS, GCP, Azure)
  • Plan and execute data migration strategies, considering trade-offs (online vs offline, performance, scalability)
  • Work with data pipelines and ETL/ELT workflows in distributed environments
  • Integrate and evaluate LLM/Generative AI components within workflows
  • Perform system testing and validation:
    • Execute test scenarios
    • Identify edge cases and failure points
    • Debug and analyze issues across systems
  • Ensure data integrity, consistency, and performance across systems
  • Document findings, insights, and recommendations clearly for stakeholders
  • Collaborate with cross-functional teams across engineering, data, and product


Required Qualifications:

  • 5+ years of relevant experience with cloud platforms (GCP, AWS, or Azure) and data/storage systems
  • Strong understanding of data migration processes and associated trade-offs
  • Experience with data pipelines, ETL/ELT workflows, or distributed systems
  • Hands-on exposure to LLMs / Generative AI (prompting, evaluation, or integration)
  • Experience in system testing, validation, or QA
  • Strong debugging and problem-solving skills
  • Excellent written communication skills

Nice to have:

  • Background in storage administration, SRE, or cloud infrastructure operations
  • Experience with MLOps, model evaluation frameworks, or AI testing workflows
  • Familiarity with Google Cloud Storage (GCS) or similar platforms
  • Experience working in Agile environments with cross-functional teams


Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Potential for contract extension based on performance and project needs.

Offer Details:

  • Commitments Required : 40 hours per week with overlap of 4 hours with PST
  • Engagement type : Contractor (no medical/paid leave)
  • Duration of contract : 9 months; [expected start date is next week]
  • Location: USA
Turing
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Cloud Data Migration & AI Systems Engineer