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Cloud Data Migration Engineer (AI Systems)

Gramian Consulting Group

BrazilCONTRACTORPosted 0 day(s) ago$0-$0 / yr

$0-$0 / yr

Salary

brazil

Region

ASAP

Start Date

About Gramian Consulting Group

Gramian Consultancy brings together the perspective of a software engineer, the knowledge of a technical recruiter, and the vision of a business builder. This unique experience is our signature advantage to delivering top quality services in the domain of recruiting, staff augmentation, and outsourcing.

About this Role.

**About Us** Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. **Role overview** Our client is a globally recognized AI research and engineering organization working at the forefront of **large language models and advanced AI systems**. They partner with leading enterprises and frontier AI labs to build scalable, high-performance AI solutions that deliver real-world impact. We are hiring a **Cloud Data Migration & AI Systems Engineer** for a 6 months contract opportunity. In this role, you will work closely with researchers and engineering teams to **design, execute, and validate data migration workflows across cloud platforms**, while integrating and evaluating **LLM/Generative AI components** within these systems. This is a **high-impact role** combining cloud engineering, data systems, and AI evaluation in a cutting-edge environment. **Commitments Required: 8 hours per day with an** **overlap of 8 hours with PST.** **Employment type: Contractor assignment (no medical/paid leave)** **Duration of contract: 6+ months** **Location:** **Brazil, India** **Interview: 15 min AI-led interview** ### **Your Daily Responsibilities** * Design and execute **data migration workflows** across cloud platforms (AWS, GCP, Azure) * Define and optimize **migration strategies** (online vs offline, scalability, performance trade-offs) * Build and maintain **data pipelines and ETL/ELT workflows** in distributed systems * Integrate and evaluate **LLM / Generative AI components** within workflows * Perform **system testing and validation**, including: * Executing test scenarios * Identifying edge cases and failure points * Debugging and analyzing system behavior * Ensure **data integrity, consistency, and performance** across systems * Document findings, insights, and technical recommendations * Collaborate with cross-functional teams (engineering, data, product, research) **Requirements** * 5+ years of experience with **cloud platforms (AWS, GCP, or Azure)** and data/storage systems * Strong understanding of **data migration strategies and 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

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