AI Engineer
Everfield · Spain
- Hybrid
- Full-time
- €75,000 / year
- Spain
Job highlights
- Lead AI & Data department autonomously.
- Develop and optimize ML/DL models.
- Integrate Generative AI and LLMs.
- Build and maintain robust data pipelines.
- Work remotely with flexible hours.
About the role
About Everfield
Everfield buys, builds, and grows European vertical market and specialist software companies, providing them with the tools they need to move to the next level. Our mission is to foster ambition, fuel growth, and unlock opportunities for Europe’s software ecosystem.
Companies in the Everfield ecosystem follow a decentralised model, maintaining their team, brand, and offices, while focusing on what they do best - building products and supporting customers. Everfield provides support in talent acquisition, HR, and a team of experts in building and growing European B2B SaaS companies consult on financial and operational topics from. Founded in 2022, Everfield has an ecosystem presence in 7 countries, and growing.
About Gstock
At Gstock, we have been revolutionizing restaurant and hotel management since 2013. Our web application, specifically designed for the HORECA sector, has earned the trust of thousands of establishments looking to optimize their operations and maximize profitability.
We are passionate about what we do and proud of the positive impact we have on our clients. With energy and enthusiasm, we head into 2026 as a key year for our large-scale expansion.
Gstock joined Everfield in 2024. The team is based Madrid, Spain.
What are we looking for?
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.
What will your responsibilities be?
- Developing and applying models and algorithms.
- 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.
Technical Requirements
Data Science & Machine Learning
- 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.
What do we offer?
- 100% Remote work.
- Flexible schedule: Daily stand-up at 08:30 AM with core hours until 02:00 PM; you manage the rest of your day.
- Competitive salary.
- Great working environment.
Key skills/competency
- AI Engineer
- Machine Learning
- Deep Learning
- Generative AI
- Data Engineering
- Big Data
- Python
- SQL
- MLOps
- Data Science
Skills & topics
- AI Engineer
- Machine Learning
- Data Science
- Python
- Generative AI
- Big Data
- SQL
- Data Engineering
- MLOps
- Remote
How to get hired
- Tailor your resume: Highlight your AI, Machine Learning, and Python skills.
- Showcase your experience: Emphasize demand forecasting and Big Data projects.
- Prepare for technical questions: Review ML algorithms, GenAI, and MLOps concepts.
- Demonstrate autonomy: Provide examples of leading initiatives independently.
- Address language skills: Be ready to discuss your English and Spanish proficiency.
Technical preparation
Master Python and its data science libraries.,Study ML algorithms and evaluation metrics.,Familiarize with Generative AI concepts.,Practice SQL and Big Data technologies.
Behavioral questions
Describe a time you worked autonomously.,How do you identify optimization opportunities?,Share an example of data interpretation success.,How do you handle model documentation and versioning?
Frequently asked questions
- What are the key responsibilities for an AI Engineer at Gstock?
- As an AI Engineer at Gstock, you will be responsible for developing and applying models and algorithms, training and optimizing Machine Learning and Deep Learning models, integrating Generative AI and LLMs, and developing robust data pipelines. You'll also be involved in data interpretation and analytics using Business Intelligence tools.
- What technical skills are most important for this AI Engineer role?
- Key technical skills include advanced proficiency in Python, expert knowledge of machine learning models, experience with Generative AI and LLMs, strong SQL mastery, and familiarity with the Big Data ecosystem. MLOps and data visualization skills are also important.
- Does this AI Engineer position require experience with specific industries?
- Yes, experience in demand forecasting within the retail/hospitality sector is highly valued for this AI Engineer role at Gstock. This experience is crucial for understanding and optimizing operations in the HORECA sector.
- What is the work arrangement for the AI Engineer position at Gstock?
- The AI Engineer position at Gstock offers 100% remote work, allowing you to work from anywhere. This provides significant flexibility in managing your daily schedule.
- What level of autonomy is expected for the lead AI & Data role?
- You are expected to work autonomously as the sole lead for the AI & Data area. This means taking initiative, making independent decisions, and driving the department's strategy and execution.
- What are the language requirements for the AI Engineer job?
- Strong reading and writing skills in both English and Spanish are required for this AI Engineer position. This is important for effective communication within the Gstock team and potentially with stakeholders.
- What kind of data platforms and tools will I work with as an AI Engineer?
- You will work with a variety of tools and platforms, including Python libraries (Pandas, PySpark, Scikit-learn, TensorFlow, Hugging Face), SQL, Big Data ecosystems (Spark, Glue, Redshift), Airflow for orchestration, and data visualization tools like Apache Superset.
- What is Gstock's mission and how does AI contribute to it?
- Gstock's mission is to revolutionize restaurant and hotel management by optimizing operations and maximizing profitability. As an AI Engineer, you will leverage AI and data to uncover solutions and business opportunities, directly contributing to this mission.