Machine Learning Engineer (MLOps / AIOps) – Madrid

QUANTIA Ingeniería y Consultoría; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

Una empresa de consultoría en Madrid busca un Ingeniero de Aprendizaje Automático con experiencia en MLOps y IA Generativa. Las responsabilidades incluyen diseñar pipelines robustos y gestionar modelos de ML en entornos de producción. Ofrecemos un ambiente colaborativo y competitivo en un área de alta innovación. Envié su CV para unirse a nuestro equipo.

Servicios

Plan de formación y mentoría técnica

Compensación variable basada en rendimiento

Opciones de compensación flexible

Oportunidades de desarrollo profesional

Formación

• Experiencia demostrable en ingeniería de software y automatización.
• Experiencia con productos de aprendizaje automático en producción.
• Competencia en Python y bibliotecas de ML/GenAI.

Responsabilidades

• Diseñar, construir y mantener pipelines MLOps robustos.
• Desplegar y gestionar modelos de ML en entornos de producción.
• Automatizar flujos de trabajo de ML y gestionar el ciclo de vida del modelo.

Conocimientos

Python

MLOps

Generative AI

DevOps

Educación

Bachelor's or master’s degree in computer science, Engineering, Telecommunications or a related quantitative field

Herramientas

AWS

GCP

Docker

Descripción del empleo

Madrid

EUR 40.000 - 60.000

Python

MLOps

Generative AI

DevOps

Bachelor's or master’s degree in computer science, Engineering, Telecommunications or a related quantitative field

AWS

GCP

Docker

1 week ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

AI & Analytics Lead @ Quantia | PhD Researcher UGR | ICAI

Who we are

At Quantia Ingeniería y Consultoría, we specialize in transforming complex processes through cutting-edge technologies such as Artificial Intelligence, digitalization, advanced analytics, and digital twins. We deliver advanced, tailored solutions to our clients, driven by strong technical expertise and the latest industry developments. Our partners are leading global financial institutions as well as top companies in the energy and industrial sectors.

We are currently expanding our team and seeking a highly motivated and experienced Machine Learning Engineer with experience in AI Ops to help design, develop, and deploy machine learning models in the field of banking and digital payments, working alongside one of the world’s top 20 banks. At Quantia you'll also have the opportunity to apply innovative processes in your day-to-day work, including AI-based developments in collaboration with a research group at the University of Granada (UGR).

Key Responsibilities:

·Design, build, and maintain robust, scalable MLOps pipelines for training, evaluation, deployment, and monitoring of Generative AI and LLM-based applications, including complex RAG systems.

·Deploy, manage, and optimize ML models (especially LLMs) in production environments, ensuring high availability and performance.

·Automate ML workflows, including data ingestion, preprocessing, model versioning, CI/CD for ML, and model lifecycle management.

·Leverage cloud platforms (AWS, GCP, or Azure) and containerization/orchestration tools (Docker, Kubernetes) to build and manage ML infrastructure.

·Collaborate closely with Data Scientists, ML Researchers, and Software Engineers to translate model prototypes into production-ready solutions.

·Monitor model performance in production, identify drift or degradation, and trigger retraining or fine-tuning processes.

·Develop and integrate REST APIs for model serving and interaction with other services.

·Integrate autonomous agents with business tools using RAG architectures on managed Cloud services.

Requirements:

Education:

Bachelor's or master’s degree in computer science, Engineering, Telecommunications or a related quantitative field.

Additional training in Generative AI, NLP, or MLOps is a plus.

Technical skills required:

·Demonstrable experience in software engineering and automation leveraging DevOps.

·Prior experience with developing and deploying production-grade machine learning products or exceptional ability in other software engineering domains will be considered.

·Python Proficiency: Strong command of Python with hands-on experience in ML/GenAI libraries such as LangChain, Haystack (or equivalents), Scikit-learn, TensorFlow, PyTorch, and XGBoost. Exceptional ability in other programming languages will be considered.

·Generative AI & LLMs: Demonstrable practical experience in developing and operationalizing solutions based on Machine Learning or Data Science at scale. Generative AI and/or Large Language Models is a plus.

·RAG Pipelines: Proven ability to design, implement, and deploy end-to-end Retrieval Augmented Generation (RAG) pipelines, including expertise with retrievers, embedding models, and vector stores (e.g., Pinecone, Weaviate, FAISS).

·Cloud MLOps Infrastructure: Significant experience with MLOps tools and infrastructure in cloud environments (AWS, GCP, or Azure), including:

oWorkflow Orchestration: Airflow, Kubeflow Pipelines, or similar.

oModel Management & Experiment Tracking: MLflow, Vertex AI Pipelines, SageMaker MLOps, or similar.

·Cloud Services: Hands-on experience with cloud-native services relevant to MLOps. For example:

oAWS: SageMaker, Lambda, S3, DynamoDB, Step Functions, EKS/ECS.

o(Or mention GCP/Azure equivalents if those are primary)

·API Development & Integration: Solid understanding and experience in designing, building, and consuming REST APIs for ML model deployment and service integration.

·CI/CD for ML: Experience implementing CI/CD pipelines for machine learning models.

·Proactive, autonomous, and builder mindset.

·Strong technical communication and customer-oriented approach.

·Ability to work in multidisciplinary teams.

·Intermediate to advanced English level (a plus).

What we offer

·The opportunity to work on cutting-edge Generative AI projects with real-world impact in banking.

·A training plan and technical mentorship from day one.

·Competitive fixed salary

·Performance-based variable compensation

·Flexible compensation options

·Opportunity to work with a leading innovation-focused company

·Collaborative and dynamic work environment

·Hands-on application of innovative procedures and AI tools

·Professional development and career growth opportunities

Interested in the challenge?

If you have experience with intelligent agents, are passionate about real-world AI applications, and want to help design pilots in one of the most demanding industries, we’d love to hear from you.

Send us your CV and join our team!

Seniority level

Seniority level Mid-Senior level

Seniority level Mid-Senior level

Employment type

Employment type Full-time

Employment type Full-time

Job function

Job function Engineering and Information Technology

Job function Engineering and Information Technology Industries IT Services and IT Consulting

Sign in to set job alerts for “Machine Learning Engineer” roles.

Leganés, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 2 weeks ago

Madrid, Community of Madrid, Spain 3 months ago

Madrid, Community of Madrid, Spain 3 months ago

Madrid, Community of Madrid, Spain 5 days ago

Madrid, Community of Madrid, Spain 2 months ago

Madrid, Community of Madrid, Spain 3 weeks ago

Madrid, Community of Madrid, Spain 2 days ago

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 2 weeks ago

Data Scientist Junior- EY wavespace Data & AI hub

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 1 month ago

Madrid, Community of Madrid, Spain 2 weeks ago

Data Scientist - Advanced Analytics Madrid

Madrid, Community of Madrid, Spain 4 days ago

Madrid, Community of Madrid, Spain 2 months ago

Madrid, Community of Madrid, Spain 2 months ago

Madrid, Community of Madrid, Spain 2 months ago

Madrid, Community of Madrid, Spain 2 months ago

Madrid, Community of Madrid, Spain 4 weeks ago

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 2 months ago

Madrid, Community of Madrid, Spain 1 week ago

Artificial Intelligence/Machine Learning Engineer

Madrid, Community of Madrid, Spain 5 months ago

Madrid, Community of Madrid, Spain 2 months ago

Machine Learning Engineer – Signal Processing

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 4 days ago

Madrid, Community of Madrid, Spain 3 weeks ago

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 2 weeks ago

Madrid, Community of Madrid, Spain 1 week ago

Business Data Scientist (Machine Learning)

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 6 months ago

Madrid, Community of Madrid, Spain 1 week ago

Madrid, Community of Madrid, Spain 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

E

B

Bradny G.

K

N

Nur E.