Machine Learning Architect

The role is for an experienced Machine Learning Architect to lead the design and implementation of scalable AI and ML solutions across cloud data platforms, working closely with cross-functional teams.

Location: Remote (Portugal or other locations depending on project and candidate)

Responsibilities

• Define and lead the architecture for scalable Machine Learning and AI platforms.
• Design end-to-end ML workflows using Databricks, including: Feature engineering, Model training, Experimentation, Deployment, Monitoring.
• Architect scalable data pipelines for AI/ML workloads using: Apache Spark, Python, SQL.
• Establish MLOps best practices including: CI/CD for ML, Model versioning, Model governance, Automated retraining, Model drifting, Observability and monitoring.
• Design secure and compliant AI architectures aligned with governance and privacy standards.
• Partner with Data Engineering teams to optimize data models and feature stores.
• Guide Data Scientists and ML Engineers on scalable production design patterns.
• Evaluate and integrate modern AI capabilities, including (this will be a plus): LLMs, Vector databases, Retrieval augmented generation (RAG), AI agents.
• Drive cost optimization, scalability, and operational excellence across ML platforms.
• Define reference architectures and best practices across multiple ML teams.
• Support stakeholder engagement and translate business needs into scalable technical solutions.

Requirements

• 8+ years in Data, AI, or Machine Learning Engineering roles.
• 3+ years designing ML platforms or AI architecture at scale.
• Strong hands-on experience with: Databricks, Apache Spark, Python, SQL.
• Strong understanding of: MLOps, ML lifecycle management, Distributed ML systems, Feature engineering, Model deployment patterns.
• Databricks Unity Catalog, Delta Lake, and Lakehouse architecture experience.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Experience deploying ML models into production environments.
• Strong knowledge of data architecture and scalable ETL/ELT patterns.
• Experience working with orchestration frameworks such as Apache Airflow.
• Strong stakeholder communication and technical leadership skills.

Benefits

• Health Insurance, because health comes first
• Flexible working hours
• Open holidays, take the time you need for yourself
• Profit distribution for everyone
• Mindera Annual Trip, Sports, and sharing groups to connect and have fun!
• Training & conferences, create your own training plan
• Child Care vouchers