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Cloud Data Migration & AI Engineer at Turing

posted 1 hour ago
turing.com Contractor remote TBD 39 views

Cloud Data Migration & AI Systems Engineer | Contractor | 40 hrs/week | Fully Remote

Turing is seeking an experienced Cloud Data Migration & AI Systems Engineer to design, validate, and optimize cloud-based data systems and AI-driven workflows. This is a 9-month contractor engagement with an expected start date of next week, requiring 40 hours per week with a 4-hour overlap with PST.

Key Responsibilities

  • Design and support data migration workflows across cloud platforms (AWS, GCP, Azure), evaluating trade-offs such as online vs. offline migration, performance, and scalability.
  • Build and maintain data pipelines and ETL/ELT workflows in distributed environments.
  • Integrate and evaluate LLM/Generative AI components within existing workflows.
  • Execute system testing and validation, including test scenario execution, edge case identification, and cross-system debugging.
  • Ensure data integrity, consistency, and performance across all systems.
  • Document findings, insights, and recommendations clearly for technical and non-technical stakeholders.
  • Collaborate with cross-functional engineering, data, and product teams.

Required Qualifications

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

Engagement Details

  • Commitment: 40 hours/week with 4-hour PST overlap
  • Type: Contractor/Freelancer (no medical or paid leave benefits)
  • Duration: 9 months
  • Environment: Fully remote

This role offers the opportunity to work on cutting-edge AI projects with leading LLM companies, with potential for contract extension based on performance and project needs.

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