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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ai Engineer - Remote - **Company:** Everfield - **Location:** Madrid, Spain (Remote available) - **Salary:** €65,000.0 - €115,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Algorithm Design, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Apache HTTP Server, Computer Vision, Big Data, Directed Acyclic Graph (Directed Graphs), Information Engineering, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), Machine Learning, Language Modeling, NumPy, Object-Oriented Software Development, Query Optimization, Power BI, Tensorflow, SQL Databases, Data Streaming, Systems Integration, Management of Software Versions, Parquet, Large Language Models, Apache Spark, Model Validation, Generative AI, Pandas, Matplotlib, Containerization, Pyspark, Scikit Learn, Kubernetes, Information Technology, Optimization Algorithms, HuggingFace, Data Analytics, Xgboost, Machine Learning Operations, Virtual Agents, Software Version Control, Data Pipelines, Docker - **Published:** September 24, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role We are seeking a proactive tech enthusiast with the ability to work autonomously to lead our AI & Data department. * Degree in Computer Science, Mathematics, or similar. * At least 3 years of experience in this role or as a Data Scientist. * Ability to understand processes and identify optimization opportunities. * Knowledge of optimization techniques, model evaluation, and performance metrics. * Solid experience in Traditional Machine Learning. * Experience in demand forecasting within the retail/hospitality sector. * Experience working with Big Data (massive datasets). * Ability to identify patterns, trends, and opportunities through data. * Strong reading and writing skills in English and Spanish. * A professional capable of working independently as the sole lead for the AI & Data area., * Solid foundation in mathematics and statistics. * Expert knowledge of machine learning models and analytical/mathematical modeling. * Statistical knowledge of Time Series and forecasting evaluation metrics. * Advanced proficiency in Python (OOP best practices, testing, Pandas, PySpark, NumPy, Scikit-learn, LightGBM / XGBoost / Catboost, Matplotlib, TensorFlow, Hugging Face). * Graph analysis and algorithm development. Generative AI * Knowledge of the state-of-the-art in Language Models and GenAI. * Agentic AI Architecture: agent loops, tools, MCPs, and Python agentic libraries. * Ability to deploy agents, build RAG systems, and extraction techniques using visual/computer vision models. Data Engineering & Big Data * Strong mastery of SQL and query optimization. * Knowledge of the Big Data ecosystem (Spark, Glue, Redshift, etc.). * Airflow: Ability to build DAGs to orchestrate data flows. * Experience handling Big Data file formats such as Parquet and DuckDB. * Pipeline design and ETL architecture (scheduling, backfilling management, fault recovery, etc.). Infrastructure & Operations (MLOps) * Knowledge of AWS and basic data infrastructure (S3, Redshift, Bedrock, EC2, EKS, ECR). * Docker: Containerization for service deployment. * Kubernetes: Ability to operate and interact with clusters. * Scalable architectures for ML operations. * Proficiency with GIT version control. * Experience putting models into production. * Continuous monitoring and model retraining for live operations. Business Intelligence * Knowledge of data visualization tools (Apache Superset, Power BI). * Dashboarding: Ability to create dashboards for business stakeholders. ## Description * Training, validating, and optimizing Machine Learning and Deep Learning models. * Integrating Generative AI and LLMs into various solutions. * Documentation, versioning, and maintenance of models. * Developing, maintaining, and optimizing high-quality, reliable, and robust data pipelines. * Extraction, cleaning, and validation of large datasets. * Data interpretation to uncover solutions and business opportunities. * Data analytics using Business Intelligence tools such as Apache Superset. ## Related Videos - [Vectorize all the things! 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