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Data Ops Engineer - AI Enablement

Indeed

Company

Job typeFull-time
Workplace typeRemote
Experience levelNo experience limit
Education levelNo degree limit

Description

**Description:** ---------------- We are looking to hire a **Data Ops Engineer \- AI Enablement** to join a professional environment focused on advanced data usage, analytics, and Generative Artificial Intelligence. The role combines approximately 60% Data / Analytics Engineering and 40% AI Enablement / GenAI, involving data preparation and transformation, as well as development of LLM-based solutions. **Responsibilities** * Develop and maintain ETL/ELT processes using Python and SQL. * Integrate, transform, and validate data from diverse sources, ensuring data quality and traceability. * Design and maintain relational data models and analytical datasets. * Build data pipelines and structures for analytical solutions, automations, and GenAI use cases. * Integrate Large Language Model (LLM) APIs into technical and business solutions. * Participate in solutions based on prompting, RAG, embeddings, and semantic search. * Use Generative AI tools to accelerate development, testing, documentation, and analysis tasks. * Document processes, data models, business rules, and GenAI solutions. * Collaborate with technical, analytical, and business teams. **Requirements** * 1\-4 years of experience in Data Engineering, Data Ops, Analytics Engineering, automation, GenAI, or similar roles. * Strong Python skills applied to data processing and automation. * Advanced SQL: joins, CTEs, window functions, aggregations, and basic optimization. * Experience with production-grade ETL/ELT processes. * Knowledge of relational data modeling and analytical dataset construction. * Experience working with medium-to-large data volumes. * Proficiency with Git. * Experience integrating LLM APIs and participating in Generative AI projects. * Familiarity with prompting techniques and basic evaluation of generative outputs. **What We Offer?** * Permanent contract with Infortec Consultores * 100% remote work * 23 vacation days * Office hours * Flexible compensation (meal vouchers, private health insurance, etc.) * Membership in the CLUB IBENEFITS (discounts across various brands...) If you have hands-on data experience and have already participated in GenAI projects, we want to meet you.

Source: indeed
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Posted by

David Muñoz

Indeed · HR

Location

David Muñoz

Indeed · HR

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