Data Ops Engineer - AI Enablement (100% Remote)

• Develop ETL/ELT processes using Python and SQL.
• Integrate data from multiple sources, ensuring quality, consistency, and traceability.
• Model data and build analytical datasets and AI pipelines.
• Implement data cleaning, validation, and quality control.
• Integrate LLM APIs and design GenAI solutions (RAG, prompting, embeddings, semantic search).
• Use GenAI tools to accelerate development and documentation.
• Document processes, models, prompts, and technical decisions.
• Collaborate with technical and business teams on data and AI solutions.

• Advanced Python and SQL.
• Experience with ETL/ELT and data modeling.
• Experience working with medium/large-scale data.
• Knowledge of Git.
• Experience with LLM APIs and GenAI projects.
• Knowledge of prompting and output evaluation.

Nice to have

• Data Lake / Warehouse / Lakehouse architectures.
• Orchestration and cloud environments.
• GenAI tools (LangChain, OpenAI, LlamaIndex…).
• Experience with RAG, embeddings, and vector databases.
• Knowledge of data security and governance.

• 23 vacation days + December 24th and 31st
• Benefits (health insurance, remote work, life and accident insurance)
• Flexible compensation program (meals, childcare, transport, online English, etc.)
• Free access to training platforms
• Professional stability and career plan
• Referral program with incentives
• Option of 12 or 14 annual salary payments
• Work-life balance measures (flexibility, remote work, summer intensive schedule…)
• Discounts on the UST Club platform and gym

UST is a multinational company headquartered in North America, certified as a Top Employer, with more than 35,000 employees worldwide and a presence in over 30 countries. We are leaders in digital technology services and deliver large-scale technology solutions for major companies.