Senior AI Engineer with Italian- EY GDS Spain - Hybrid
hace 4 días
Málaga
ph3Senior AI Engineer with Italian- EY GDS Spain - Hybrid /h3 pLocation: Malaga /p pThis opportunity is for a Senior AI Engineer who will lead the architecture, design, and delivery of advanced AI and Generative AI solutions for enterprise clients. You will collaborate with multidisciplinary teams to shape end-to-end AI strategies, deliver scalable implementations, guide junior resources, and ensure the quality, security, and robustness of AI systems deployed in production environments. /p h3Responsibilities /h3 ul liLead the analysis of business requirements and translate them into technical roadmaps. /li liDesign and develop enterprise‑grade components such as inference services, ML/LLM pipelines, APIs, and microservices. /li liDefine and implement MLOps/LLMOps pipelines, including model registry, versioning, CI/CD, monitoring, retraining, and rollback strategies. /li liImplement advanced GenAI solutions, such as RAG, evaluation frameworks, guardrails, retrieval strategies, secure orchestration, and agentic workflows. /li liEnsure non‑functional requirements such as security, resilience, privacy‑by‑design, observability, and auditability. /li liMentor junior engineers, conduct code reviews, and contribute to internal AI community assets, accelerators, and best practices. /li liManage stakeholders, align on KPIs, and support proposal/presales activities when required. /li /ul h3Skills and Attributes for Success /h3 pYou bring deep technical expertise, architectural vision, strong leadership, and the ability to operate effectively in complex enterprise environments. Collaboration, communication, and a strategic mindset are key to succeeding in this role. /p h3Qualifications /h3 ul liBachelor’s or Master’s degree in STEM fields (Computer Science, Engineering, Data Science, Mathematics, Statistics). /li li4–6+ years of experience in AI/ML engineering and enterprise delivery. /li liAdvanced proficiency in Python, including production‑grade coding (APIs, services, testing, CI/CD). /li liProven experience deploying AI/ML solutions to production (monitoring, retraining, lifecycle management). /li liConcrete experience with GenAI/LLM frameworks and architectures (RAG, evaluation, prompt strategy, integration). /li liStrong knowledge of cloud architectures (Azure preferred) and security/compliance principles. /li liTechnical leadership experience and mentoring ability. /li liProfessional proficiency in English. /li liProfessional proficiency in Italian (mandatory). /li /ul h3Ideally, You’ll Also Have /h3 pExperience with Kubernetes, event‑driven architectures, or large‑scale distributed systems, and knowledge of data engineering tools (Spark/Databricks). /p ul liExperience in regulated industries or auditing contexts. /li liOpen‑source contributions, publications, certifications. /li /ul h3What We Look For /h3 pProfessionals who combine deep technical skills with leadership, ownership, and a passion for shaping impactful AI solutions in enterprise environments. /p h3Benefits /h3 pbContinuous learning: /b Develop the mindset and skills to navigate whatever comes next. /p pbSuccess as defined by you: /b Tools and flexibility to make a meaningful impact, your way. /p pbDiverse and inclusive culture: /b Embraced for who you are and empowered to use your voice. /p /p #J-18808-Ljbffr