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.

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