CI Expert AI Engineer Ciklum • Málaga Híbrido · 3 días en casa · Málaga hace 3 días
hace 4 días
Málaga
ppCiklum is looking for an bExpert AI Engineer /b to join our team in Spain. /ppWe are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. /ph3About The Role /h3pAs an Expert AI Engineer, you'll become a part of a cross-functional development team engineering experiences of tomorrow. /ph3Responsibilities /h3ulliEmbed into product teams and work 1:1 with senior engineers on real tasks /liliCo-develop and refine ways of using AI in everyday engineering workflows /liliHelp teams adopt "agentic" ways of working through practical application, not just guidance /liliStart with one developer per team (phased rollout, not all teams at once) /liliPrimarily focus on developers, with potential to expand support to QA, BA, and DevOps over time /liliUse and adapt to the approved internal toolset (e.g. Kiro, potentially Claude), ensuring compliance with TUI standards /liliCollaborate with internal AI/innovation teams to address tooling gaps or improvement opportunities /li /ulh3What Success Looks Like: /h3ulliEngineers are actively using AI in their daily work in a meaningful way /liliAI is embedded into real development tasks (not just experimentation or training) /liliTeams become more efficient through practical AI adoption /liliClear, reusable patterns for AI-supported development start to emerge /li /ulh3Requirements /h3pWe know that sometimes, you can't tick every box. We would still love to hear from you if you think you're a good fit! /ph3General technical requirements: /h3ulli8 years of professional experience in software, data, or AI engineering, including at least 3-4 years of hands‑on experience designing and implementing AI/ML solutions /liliBSc, MSc, or PhD in Computer Science, Mathematics, Engineering, or a related quantitative field /liliDeep understanding of probability, statistics, and the mathematical foundations of machine learning and optimization /liliProven experience building and deploying advanced AI systems, including Large Language Models (LLMs), multimodal, and generative AI architectures /liliExposure to agentic system design, retrieval-augmented generation (RAG) and prompt engineering techniques /liliStrong proficiency in Python and experience with AI/ML development frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face or equivalent), with awareness that production environments may also rely on Java and/or Node.js depending on the team's technology stack. /liliSolid understanding of modern AI engineering practices, including model lifecycle management, observability, evaluation, versioning and continuous improvement /liliFamiliarity with AI solution delivery methodologies (e.g., CRISP-ML(Q), TDSP or modern agile ML lifecycles) /liliAbility to visualize, interpret, and communicate model outputs and insights effectively using modern tools and dashboards /li /ulh3Specific technical requirements: /h3ulliProven experience in architecting and implementing end-to-end AI/ML solutions --- from data ingestion and model training to deployment, monitoring and optimization /liliStrong software engineering skills for AI system development, including data processing, API integration, and model serving (Python, SQL and optionally Java/Scala or similar) /liliHands‑on experience with cloud-native AI platforms and services (AWS SageMaker, Azure ML, GCP Vertex AI or NVIDIA AI stack) - AWS as primary /liliProficiency in designing scalable ML/LLM pipelines and applying MLOps/LLMOps best practices (CI/CD, orchestration, monitoring, versioning, and deployment automation) /liliExperience with diverse data modalities (structured, text, image, audio, video) and multimodal model integration /liliFamiliarity with handling complex data scenarios such as class imbalance, time‑series forecasting and anomaly detection /liliUnderstanding of security, data governance and compliance considerations in AI system design /liliBroad exposure to enterprise-scale AI solution design across industries such as BFSI, Healthcare, Aerospace, Manufacturing, Energy, Telecom or Technology sectors /liliProven ability to translate business and operational requirements into robust AI system architectures that deliver measurable impact /liliFamiliarity with challenges of deploying AI in regulated environments and ensuring compliance with data privacy and protection frameworks (e.g., GDPR, CCPA, PCI DSS) /liliExperience managing sensitive or high-value data (PII, PHI), implementing strong security, governance and access control mechanisms /liliUnderstanding of enterprise data ecosystems and integration patterns (CRM, ERP, knowledge management or workflow systems) /li /ulh3Business-related requirements: /h3ulliProven experience delivering production-grade AI solutions that achieve measurable business and operational outcomes /liliStrong ownership of the full AI engineering lifecycle --- from problem framing and architecture design to deployment, optimization, and continuous improvement /liliAbility to align technical decisions with business priorities, ensuring scalability, reliability, and measurable value from AI initiatives /liliExcellent collaboration and communication skills to work effectively with cross‑functional stakeholders, delivery teams, and clients /liliHigh degree of autonomy, accountability, and attention to detail in managing complex, multi-component AI systems /li /ulh3What`s in it for you? /h3ullibCare: /b your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance and 4 additional undocumented sick leave days /lilibTailored education path: /b boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications /lilibGrowth environment: /b share your experience and level up your expertise with a community of skilled professionals, locally and globally /lilibFlexibility: /b Own your schedule -- you are the one to decide when to start your working day. Just don't miss your regular team stand‑up. We are there to support your work‑life balance and provide 23 vacation days short Fridays /lilibOpportunities: /b we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential /lilibGlobal impact: /b work on large-scale projects that redefine industries with international and fast-growing clients /lilibWelcoming environment: /b feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team‑building events /li /ul /p #J-18808-Ljbffr