ppJoin us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible. /p pAs an ML Engineer, you’ll be provided with all opportunities for development and growth. /p pLet's work together to build a better future for everyone! /p h3Requirements /h3 ul liComfortable with standard ML algorithms and underlying math /li liStrong hands-on experience with LLMs in production, RAG architecture, and agentic systems /li liAWS Bedrock experience strongly preferred /li liPractical experience with solving classification and regression tasks in general, feature engineering /li liPractical experience with ML models in production /li liPractical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines /li liSolid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts) /li liPython expertise, Docker /li liEnglish level - strong upper- intermediate /li liExcellent communication and problem-solving skills /li /ul h3Will be a plus /h3 ul liPractical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda)



/li liPractical experience with deep learning models /li liExperience with taxonomies or ontologies /li liPractical experience with machine learning pipelines to orchestrate complicated workflows /li liPractical experience with Spark/Dask, Great Expectations /li /ul h3Responsibilities /h3 ul liCreate ML models from scratch or improve existing models. /li liCollaborate with the engineering team, data scientists, and product managers on production models /li liDevelop experimentation roadmap. /li liSet up a reproducible experimentation environment and maintain experimentation pipelines /li liMonitor and maintain ML models in production to ensure optimal performance /li liWrite clear and comprehensive documentation for ML models, processes, and pipelines /li liStay updated with the latest developments in ML and AI and propose innovative solutions /li /ul pWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. /p /p #J-18808-Ljbffr

📌 Senior AI Engineer – GenAI & Agentic Systems (Madrid)
🏢 Provectus
📍 Madrid