Data Science & MLOps Specialist (m/f/d)

DEKRA España; Málaga; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Private health insurance

Restaurant vouchers

Discounts on major brands

Ongoing specialized training

Job summary

A multinational organization based in Málaga is seeking a Fullstack Applied AI Engineer to develop and implement AI-driven solutions. The role involves integrating models into existing applications, collaborating with DevOps teams for secure and scalable environments, and optimizing performance. Candidates should have a Bachelor's degree in a STEM field and at least 4 years of relevant experience, particularly in developing AI or ML solutions within Azure. The position allows for hybrid work flexibility after a trial period.

Qualifications

• 4+ years of experience in AI, Data Science, or ML Engineering.
• Solid understanding of testing, clean code, CI/CD.
• Experience deploying AI or ML solutions in Azure.

Responsibilities

• Develop and maintain AI accessible applications for users.
• Collaborate on deploying secure, scalable environments.
• Monitor AI application performance and optimize systems.

Skills

Python programming skills

AI and ML deployment

Software engineering principles

Experience with Azure

Proficiency with PyTorch

Education

Bachelor’s degree in Computer Science or STEM field

Tools

MLflow

Docker

Kubernetes

FastAPI

Job description

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.

We offer you the opportunity to join a solid multinational group, leader in its sector, which has grown steadily over the last decades. Our vision for the companys 100th anniversary in 2025 is to make DEKRA the global partner for a safer and more sustainable world.

Your 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.
• 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.

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 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.