Researcher - Data & Machine Learning Engineering

ppOur team of engineers, scientists, and software developers explores the potential of Artificial Intelligence to solve some of the world's most challenging problems.We integrate machine learning, systems modeling, advanced control, and mathematical optimization to tackle complex engineering challenges.Our ultimate mission is to develop sustainable technologies that drive progress and contribute to the advancement of human development./p h3About The Position /h3 pAt IDENER.AI, we are looking for four engineers - two Data Engineers and two ML Engineers - to join our team in Seville.You will work across a growing portfolio of RD and private-sector projects - including but not limited to the ones listed above - building scalable data platforms, end-to-end ML systems, and AI-powered digital twins for domains including energy-intensive industry, smart cities, maritime surveillance, and regulatory compliance./p h3Key Responsibilities /h3 ul liDesign, build, and maintain scalable data pipelines (batch and streaming), integrating heterogeneous data sources such as IoT devices, APIs, and scientific datasets./li liDevelop, train, validate, and deploy machine learning models for tasks such as forecasting, optimisation, classification, and anomaly detection./li liImplement end-to-end ML systems (MLOps), including data versioning, model training pipelines, CI/CD, and monitoring in production./li liArchitect and optimise data platforms (data lakes, warehouses) ensuring data quality, governance, and traceability./li liDeploy and scale solutions in cloud environments using containerisation and microservices./li liContribute to the development and integration of AI-powered digital twins, combining physics-based models with data-driven surrogates./li liCollaborate in RD projects, contributing to state-of-the-art analysis, technical deliverables, and innovation strategies./li liWork closely with multidisciplinary teams to translate complex problems into robust AI-driven solutions./li liParticipate in the preparation and writing of EU-funded research proposals (e.g., Horizon Europe), including the definition of technical work packages, pilot use cases, and consortium contributions./li /ul h3Why is IDENER.AI the place for you?/h3 ul liOur horizontal structure ensures you with the freedom to propose and execute solutions without bureaucratic barriers from day one./li liWe make work-life balance a central part of our culture by offering a fully flexible schedule, where you decide how to allocate your annual working time./li liWe strive to maintain a work environment that cares, supports, and inspires by focusing on every team member's financial, mental, physical, and emotional needs./li liOur organisation is built on trust, cooperation, and equity, providing you with the safety and accountability required to propose and execute your own ideas from day one./li liYou will always have a senior team acting as a safety net to guide and support you while you develop your full potential in the field of applied computational science./li /ul h3Minimum Requirements /h3 ul liBSc, MSc, or PhD in Computer Science, Data Science, Telecommunications, Mathematics, Physics, Electronics, Robotics and Mechatronics Engineering (GIERM), Aerospace Engineering, or related fields./li liProfessional proficiency in English is essential, as you will be responsible for drafting technical deliverables and engaging in high-level discussions within international consortiums./li liStrong programming skills in Python (pandas, PySpark, scikit-learn, etc.) and advanced SQL./li liExperience with machine learning frameworks (TensorFlow, PyTorch, XGBoost...)./li liHands-on experience with data pipeline tools (Airflow, Prefect, Spark...)./li liFamiliarity with cloud computing concepts and infrastructure./li liSolid understanding of MLOps practices (Docker, CI/CD, model deployment)./li liHands-on experience with AI coding assistants (e.g., Claude, GitHub Copilot) for development and research workflows./li /ul /p #J-*****-Ljbffr

li /ul h3Minimum Requirements /h3 ul liBSc, MSc, or PhD in Computer Science, Data Science, Telecommunications, Mathematics, Physics, Electronics, Robotics and Mechatronics Engineering (GIERM), Aerospace Engineering, or related fields. /li liProfessional proficiency in English is essential, as you will be responsible for drafting technical deliverables and engaging in high-level discussions within international consortiums. /li liStrong programming skills in Python (pandas, PySpark, scikit-learn, etc.) and advanced SQL. /li liExperience with machine learning frameworks (TensorFlow, PyTorch, XGBoost...). /li liHands-on experience with data pipeline tools (Airflow, Prefect, Spark...). /li liFamiliarity with cloud computing concepts and infrastructure. /li liSolid understanding of MLOps practices (Docker, CI/CD, model deployment). /li liHands-on experience with AI coding assistants (e.g., Claude, GitHub Copilot) for development and research workflows.