Descrição do cargoSenior ML Engineer / Data ScientistPortugal / Remote / Freelance or PermanentWe are looking for a Senior ML Engineer / Data Scientist who thrives at the intersection of strategy and execution, someone who can rapidly move from identifying priorities and shaping ideas to delivering production‐ready solutions. You will play a pivotal role in advancing our Advanced Analytics capabilities, acting as both a technical leader and a trusted partner to business stakeholders across the organisation.This is a high‐impact position for someone who takes genuine ownership, leads by example, and is passionate about embedding data science best practices at scale.What You'll DoChampion best practices, standards, and methodologies across your Advanced Analytics capability area, ensuring consistently high‐quality data science outputArticulate the value of your domain (e.g., AI/ML) to the broader organisation, shaping decision‐making and becoming a go‐to advisor for key business stakeholdersStay ahead of the curve — continuously bringing in the latest advancements, tools, and techniques to enhance team capabilityEvaluate and recommend new technologies and ML techniques that improve efficiency and accelerate deliveryFoster a culture of continuous learning, knowledge sharing, and professional growth within the teamDelivery & CollaborationPartner with stakeholders across the organisation to understand business objectives and co‐design data‐driven solutionsWork closely with Analytics Product Owners and the Cloud/Engineering team to deliver Data Science and ML workstreams on time, within budget, and to quality standardsLead and facilitate ideation and scoping sessions with business stakeholders to define the data needed to address specific challengesCollaborate with external vendors, assessing their capabilities and ensuring alignment with internal standards and project requirementsMentor, coach, and oversee colleagues in the development, deployment, and integration of Advanced Analytics solutionsRemain actively hands‐on — conducting data analysis, prototyping frameworks, and producing high‐quality, scalable, production‐ready codeOwn the end‐to‐end documentation, demos, and presentations required to communicate and validate your solutionsTechnical RequirementsAzure AI Services — AI Foundry, OpenAI, AI Search, Document IntelligenceContainer Apps, Container App Environments, and Container RegistriesApplication Gateway, Key Vault, Managed IdentitiesStorage Accounts and Virtual NetworksPython — production‐grade code, with strong experience in LangChain, Pydantic, and FastAPIETL development, including parallel computing approachesGenerative AI — Prompt Engineering, Retrieval‐Augmented Generation (RAG), and GenAI application architectureTerraform (Infrastructure as Code)DockerCode versioning via Azure ReposCI/CD pipeline development using Azure PipelinesLinting, unit testing, and adherence to software development best practicesNice to HaveReact development experience, including TypeScript, REST/GraphQL, state management, UI/UX principles, HTML/CSS, and caching strategies#J-18808-Ljbffr