Machine Learning Engineer | Remote | Portugal

🚀 We’re Hiring | Machine Learning Engineer 📍 Please note: Candidates must be currently residing in Portugal. Are you passionate about Machine Learning, Generative AI and building AI solutions that deliver real impact in production? We’re looking for a Machine Learning Engineer with 4–5 years of professional experience to develop and deploy scalable ML systems, combining classical Machine Learning with LLM-powered applications and agentic workflows. 🔹 What you’ll do: - Design and deploy forecasting and time series prediction models in production. - Build and maintain ML pipelines on Azure Databricks, using MLflow for experiment tracking, model versioning and lifecycle management. - Implement feature engineering workflows, model monitoring, drift detection and automated retraining. - Develop LLM-powered applications and multi-step agentic workflows using prompt engineering, function calling and frameworks such as LangGraph, CrewAI or OpenAI Agent SDK. - Design evaluation frameworks for ML models, LLM outputs and agent performance. - Deploy and scale ML solutions using Azure, Docker and Kubernetes. - Integrate ML components into microservices architectures, ensuring observability, performance and code quality. 🔹 What we’re looking for: - 4–5 years of professional experience in Machine Learning or AI engineering. - Strong Python skills and solid object-oriented programming fundamentals. - Hands-on experience developing and deploying forecasting and time series models. - Experience with production ML workflows and Databricks. - Knowledge of LLMs, prompt engineering and agentic systems. - Experience with Azure, Docker and Kubernetes. - Understanding of model evaluation, monitoring and drift detection. - Familiarity with workflow orchestration tools such as Apache Airflow. - Strong coding practices, automated testing and maintainable software development. ⭐ Nice to have - Experience deploying LLM applications and AI agents in production. - Familiarity with LLM observability and tracing tools such as Langfuse. - Knowledge of LLM inference cost optimisation and token caching. - Experience with multi-agent orchestration, tool use and CI/CD practices. 🎓 Education: Degree in Computer Science, Data Science or a related field, or equivalent professional experience. If you enjoy working at the intersection of Machine Learning, Generative AI and production engineering, we’d love to hear from you! 📩 Interested or know someone who could be a great fit? Get in touch or share this opportunity. #Hiring #MachineLearning #AIEngineering #GenerativeAI #Python #Azure #Databricks