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Join to apply for the AI Operations Engineer_Vertex AI role at NTT DATA Europe LatamContinue with Google Continue with Google3 days ago Be among the first 25 applicantsJoin to apply for the AI Operations Engineer_Vertex AI role at NTT DATA Europe LatamWho We AreWe are building a state-of-the-art AI team to drive business innovation. Our team is structured for success: AI Solution Engineers partner with the business to design the "what" and the "why," and as our AI Ops Engineer, you will be the expert who masters the "how."Who We AreWe are building a state-of-the-art AI team to drive business innovation. Our team is structured for success: AI Solution Engineers partner with the business to design the "what" and the "why," and as our AI Ops Engineer, you will be the expert who masters the "how."What You'll Be DoingTake the solutions and model architectures designed by the AI Solution Engineer and lead their hands-on implementationYou will partner directly with non-technical business stakeholders to deeply understand the core processes that generate our dataYou’ll act as a BI expert, collaborating on the definition and creation of robust data models (facts, dimensions) that serve as the foundation for our AI systemsWrite clean, production-grade Python code to build, train, and fine-tune models, translating business logic and domain knowledge into powerful, predictive featuresWork in a tight feedback loop with business users to tune and refine model outputsYou will be responsible for ensuring the model’s results are not only statistically accurate but also intuitive and actionable for the people using themThis is your primary domain of ownershipYou will design, build, and maintain our entire MLOps infrastructure using GCP and Vertex AIEstablish and manage the CI/CD pipelines for our AI models, automating the end-to-end process from code commit to production deploymentUse tools like Airflow to orchestrate complex model retraining jobs, data refresh cycles, and other essential workflowsOwn the deployment of models as scalable, low-latency API endpoints. You are responsible for monitoring their health, performance, and cost, making continuous optimizationsAs a foundational member of the team, you will establish and enforce best practices for code quality, model versioning, monitoring, and alertingWhat You'll Bring AlongUniversity Degree in Computer Science, or a related fieldMinimum of 3-5 years of experience in a similar roleYou have a genuine curiosity for how the business works and an ability to understand the "why" behind the dataYou have proven experience acting as a bridge between technical teams and business departments, skilled at active listening, asking the right questions, and building trust with non-technical colleaguesDemonstrable experience in a hands-on role like ML Engineer or AI Engineer where you were responsible for building and shipping AI production systemsHigh proficiency in Python, writing clean, maintainable, and testable code for both data processing (e.g., Pandas) and ML development (e.g., Scikit-learn, TensorFlow/PyTorch)The ability to write complex, efficient SQL queries to work with large datasets. Experience with Google BigQuery is a major assetHands-on experience deploying and managing applications or services on a major cloud platform (GCP is strongly preferred; significant AWS/Azure experience is also relevant)You are passionate about writing code and building systems. You have a pragmatic approach to engineering and a high bar for qualityProven experience using the GCP Vertex AI suite (especially Pipelines, Endpoints, Training, and Model Registry) to build and operate ML systemsDirect experience building CI/CD pipelines for ML (e.g., using GitHub Actions, Jenkins) and orchestrating workflows with Apache AirflowPractical experience with tools like Terraform for managing cloud infrastructureA strong working knowledge of Docker and experience with Kubernetes (GKE)Proficiency in English speaking and writingSeniority levelSeniority levelAssociateEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at NTT DATA Europe Latam by 2xSign in to set job alerts for “Operations Engineer” roles.Continue with Google Continue with GoogleContinue with Google Continue with GoogleProject Engineer Civil to work in Romania (wind sector)Project Engineer Electrical to work in RomaniaManufacturing Quality Assurance EngineerWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr