Data Ops Engineer - Ai Enablement (100% Remote)

We are looking for the best talent… and we would love for you to join our team!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.What are we looking for?We are looking for aData Ops Engineer - AI Enablementto work in advanced data environments and generative AI.This role combinesData/Analytics Engineering (60%)withAI Enablement/GenAI (40%) , preparing high-quality data and applying LLMs to build analytical solutions and intelligent automation.Develop ETL/ELT processes using Python and SQLIntegrate data from multiple sources, ensuring quality, consistency, and traceabilityModel data and build analytical datasets and AI pipelinesImplement data cleaning, validation, and quality controlIntegrate LLM APIs and design GenAI solutions (RAG, prompting, embeddings, semantic search)Use GenAI tools to accelerate development and documentationDocument processes, models, prompts, and technical decisionsCollaborate with technical and business teams on data and AI solutionsKey RequirementsAdvanced Python and SQLExperience with ETL/ELT and data modelingExperience working with medium/large-scale dataKnowledge of GitExperience with LLM APIs and GenAI projectsKnowledge of prompting and output evaluationNice to haveData Lake / Warehouse / Lakehouse architecturesOrchestration and cloud environmentsExperience with RAG, embeddings, and vector databasesKnowledge of data security and governanceWhat do we offer?23 vacation days + December 24th and 31stBenefits (health insurance, remote work, life and accident insurance)Free access to training platformsProfessional stability and career planReferral program with incentivesOption of 12 or 14 annual salary paymentsWork-life balance measures (flexibility, remote work, summer intensive schedule…)Discounts on the UST Club platform and gymCommitment to diversityAt UST, we promote equal opportunities and do not discriminate based on race, gender, disability, age, religion, sexual orientation, or nationality.We are strongly committed to inclusion and actively encourage the hiring of people with disabilities.#J-*****-Ljbffr

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 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) 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 Commitment to diversity At UST, we promote equal opportunities and do not discriminate based on race, gender, disability, age, religion, sexual orientation, or nationality. We are strongly committed to inclusion and actively encourage the hiring of people with disabilities. #J-*****-Ljbffr

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. What are we looking for? We are looking for a Data Ops Engineer - AI Enablement to work in advanced data environments and generative AI. This role combines Data/Analytics Engineering (60%) with