Data & Machine Learning Analyst

DEKRA España; Málaga; Híbrido; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A global technology organization is seeking a Fullstack Applied AI Engineer to develop AI-driven solutions in Malaga. The role involves implementing AI models, collaborating with DevOps, and optimizing performance in cloud environments. A Bachelor's degree in a STEM field and 4+ years in AI or ML are required. Benefits include flexible hours, private health insurance, and potential for hybrid work after onboarding. Join a forward-thinking team and advance your career in an innovative environment.

Servicios

Private health insurance

Restaurant vouchers

Training opportunities

Discounts on major brands

Formación

• 4+ years of experience in AI, Data Science, or ML Engineering.
• Strong programming skills in Python.
• Experience developing and deploying AI solutions in Azure.

Responsabilidades

• Develop and maintain applications for AI accessibility.
• Collaborate to deploy secure cloud environments.
• Monitor and optimize the performance of AI applications.

Conocimientos

Python

AI and Machine Learning

Data Science

Azure

PyTorch

FastAPI

Educación

Bachelor's degree in Computer Science, Engineering, or another STEM field

Herramientas

MLflow

Airflow

Docker

Kubernetes

Descripción del empleo

DEKRA Group a global 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.

About the Role

You will develop and implement AI-driven solutions, integrating models into existing systems and applications. 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.

Main Responsibilities

• Develop and maintain applications and services that make AI accessible to internal and external users, integrating AI models into existing applications, APIs, and systems.
• Collaborate with infrastructure and DevOps teams to deploy secure and scalable cloud and on-premise environments (including GPU partitioning), optimizing performance, resources, and costs.
• Partner with AI Engineers and cross‑functional teams to transform prototypes into robust, production‑grade AI solutions.
• 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.

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‑world environments.
• 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.

Other Desirable Knowledge

• Experience with LLM frameworks (LangChain, LlamaIndex) and agent‑based automation (CrewAI, Agno, MCP, etc.).
• 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 database (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.

Benefits & Work Information

• Summer and Christmas intensive workday, as well as every Friday throughout the year.
• Working hours: Monday to Friday with flexible entry hours.
• Possibility to participate in the company corporate benefits: Private health insurance, restaurant vouchers, opportunity to teach English classes.
• Discounts on major brands: Textiles, consumer goods, leisure, electronics, travel agencies.
• Ongoing and specialized training provided by the organization.
• Position located in Malaga.
• Contract: Permanent.
• Remote work: Possibility of telecommuting through a hybrid system after a successful trial period.