Data Analyst Y Machine Learning

DEKRA España; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A technology solutions company located in Madrid is seeking an AI Engineer to develop and implement AI-driven solutions. The role involves collaborating with teams to ensure secure, scalable environments and optimizing AI applications. Candidates should have a Bachelor's degree in Computer Science, with 4+ years in AI/ML engineering, strong Python skills, and experience with Azure. The position offers a permanent contract with the possibility of hybrid work.

Servicios

Private health insurance

Restaurant vouchers

Discounts on major brands

Formación

• 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.
• Experience developing and deploying AI or ML solutions in Azure.

Responsabilidades

• Develop and maintain applications and services that make AI accessible to users.
• Collaborate with infrastructure and DevOps teams to deploy environments.
• Monitor and optimize the performance of AI applications in production.

Conocimientos

Python programming

AI/ML engineering

Data Science

MLOps tools experience

Observability tools knowledge

Cloud technologies

Educación

Bachelor's degree in Computer Science or Engineering

Herramientas

PyTorch

FastAPI

Azure Machine Learning

Docker

Kubernetes

Descripción del empleo

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.

Benefits and other information

• Summer and Christmas intensive workday, as well as every Friday throughout the year.
• 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.

Working hours

Monday to Friday with flexible entry hours.

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 database (Milvus, Qdrant, Chroma, 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.

Position located in Malaga