ppWizeline, a global AI‑native technology solutions provider, develops cutting‑edge, AI‑powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a integral community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve. /p h3Key Responsibilities /h3 ul liCollaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows. /li liImplement optimized vector storage and indexing systems for NLP. /li liDevelop tools and frameworks for prompt management, automated evaluations, and observability. /li liMonitor and improve agentic systems performance for accuracy and efficiency. /li liProvide ongoing support, troubleshoot issues, and implement updates for ML solutions. /li liBuild and maintain data processing pipelines for high volumes of structured and unstructured data. /li liIntegrate third‑party AI APIs (internal and external) to extend the functionality of systems. /li liStay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency. /li liBuild and extend internal products on top of the LangChain ecosystem (LangGraph, LangSmith) to support prompt management, evaluation, and agent orchestration across the team.



/li /ul h3Must‑have Skills /h3 ul liBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience. /li li4+ years of industrial experience in a machine‑learning engineering or data‑engineering role. /li liStrong programming skills in Python and/or another high‑level language commonly used in machine learning. /li liExperience deploying LLMs, implementing automated evaluation pipelines (LLM‑as‑a‑judge), and architecting multi‑agent systems that utilize tool‑calling and long‑term memory to solve non‑linear problems. /li /ul h3Nice‑to‑have /h3 ul liAI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day‑to‑day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. /li liFamiliarity with cloud‑based infrastructure and services (e.g., AWS and GCP), Docker, and the Git version control system. /li liFamiliarity with consuming and integrating APIs in a reliable and secure manner. /li /ul h3What We Offer /h3 ul liA High‑Impact Environment /li liCommitment to Professional Development /li liFlexible and Collaborative Culture /li liGlobal Opportunities /li liVibrant Community /li liTotal Rewards /li liSpecific benefits are determined by the employment type and location. /li /ul /p #J-18808-Ljbffr

📌 Senior ML/AI Engineer (Barcelona)
🏢 Wizeline
📍 Barcelona