DEKRA Group a general organization with more than 50,000 employees and presence in more than 50 countries is looking for a Fullstack Applied AI Engineer in ours offices in Malaga, as part of an ambitious expansion and consolidation project.Our vision for the companys 100th anniversary in **** is to make DEKRA the global partner for a safer and more sustainable world.You will work with infrastructure and DevOps teams to ensure secure, scalable environments, optimize performance, and apply the latest advances in AI and cloud technologies.Collaborate with infrastructure and DevOps teams to deploy secure and scalable cloud and on?premise environments (including GPU partitioning), optimizing performance, resources, and costs.Monitor and optimize the performance of AI applications, implementing observability best practices (logging, metrics, alerting) to detect incidents, data drift, and model deviations in production environments.Stay up to date with the latest developments in AI frameworks, cloud technologies, and software engineering practices, applying relevant improvements to production systems.Summer and Christmas intensive workday, as well as every Friday throughout the year.Monday to Friday with flexible entry hours.Private health insurance, restaurant vouchers, opportunity to teach English classes...Discounts on major brands:



Ongoing and specialized training provided by the organization.Position located in MalagaContract: Permanent.Remote work: Possibility of telecommuting through a hybrid system after a successful trial period.Qualifications:Bachelor's degree in Computer Science, Engineering, or another STEM field.4+ years of experience in AI, Data Science, or ML Engineering applied to real?Strong programming skills in Python and solid understanding of software engineering principles (testing, clean code, CI/CD).

Experience developing and deploying AI or ML solutions in Azure (e.g., Azure Machine Learning or Azure AI Services). Proficiency with PyTorch, FastAPI, and data/ML libraries such as Pandas or Scikit?learn.Experience with MLOps tools such as MLflow, Airflow, or Dagster.Knowledge of cloud?native infrastructure (Docker, Kubernetes, GPU partitioning). Familiarity with observability and model monitoring tools (EvidentlyAI, InspectAI, DeepEval).

Experience with at least one vector databases (Milvus, Qdrant, ChromaDB, Pinecone, ElasticSearch). Familiarity with distributed data processing (Dask, Polars) and LLM optimization (LoRA, QLoRA). Hands?on experience with CI/CD pipelines (GitHub Actions) and DevOps practices. #

📌 DATA SCIENCE SPECIALIST (Málaga)
🏢 DEKRA España
📍 Málaga