Machine Learning Architect

Mindera

Machine Learning Architect leading design and implementation of AI and ML solutions at Mindera. Collaborating across teams to develop production-ready intelligent systems.

Posted 5/13/2026full-timeRemote • 🇵🇹 PortugalSeniorLeadWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQLUnity

About the role

Key responsibilities & impact

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 (not just owning a single project).
Support stakeholder engagement and translate business needs into scalable technical solutions.

Requirements

What you’ll need

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

Comp & perks

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
Choose Laptop & Peripherals that best suit your needs
Hotspot with unlimited usage (PT), for work or Netflix ;)
We have amazing offices in Porto, Aveiro, and Coimbra if you want to physically connect with minders. Remote from Portugal is also an option. Remote from other Countries will depend on your current location and Projects.
At the offices, we have a wide range of snacks to keep you fed and healthy
Partnerships with local businesses
Most of all you get to work with a bunch of great people, where the whole team owns the project together in a politics-free environment. Our culture reflects our lean and self-organization attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. Freedom and Responsibility go hand in hand, and we value commitment, feedback, and empathy.

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Hard Skills & Tools

Machine LearningAI platformsDatabricksApache SparkPythonSQLMLOpsFeature engineeringModel deploymentData architecture

Soft Skills

stakeholder communicationtechnical leadership