# Machine Learning Architect

> Mindera · Brazil (Remote) · — · Posted 2026-05-13

**Workplace:** remote

**Department:** Engineering

## Description

We are looking for an experienced **Machine Learning Architect** to lead the design and implementation of scalable AI and ML solutions across modern cloud data platforms. This role combines architecture, engineering, and strategic leadership to enable enterprise-scale machine learning capabilities. The ideal candidate has strong hands-on experience with Databricks and a deep understanding of ML lifecycle management, MLOps, scalable data architectures, and AI platform governance. This is a highly collaborative role working closely with Data Engineering, Data Science, Product, and Business stakeholders to design robust, scalable, and production-ready AI solutions.

This role has the responsabilities to:

-   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

-   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

### Being a "Minder" in Brazil

We value commitment, feedback, and empathy. To support your journey, we offer:

-   **Work Your Way:** Flexibility to choose where you work from (Remote-first culture).
-   **Growth Mindset:** Free English lessons and continuous training/learning opportunities.
-   **Well-being First:** Access to counseling and psychotherapy services, and incentives in sports competitions, because your mind matters.
-   **Shared Success:** Annual profit distribution (subject to company performance and board decision - only for CLT contracts).
-   **The Fun Stuff:** Gatherings and annual trip to bond with the team.
-   **Culture of Trust:** A collaborative, lean, and self-managed environment where you have the autonomy to make an impact.

### Find Us Around the Globe

While you'll be part of our **Blumenau** hub in **Brazil**, you’re joining a [global family](https://mindera.com/locations) with offices in Australia | India | Morocco | Portugal | Romania | Spain | UK | USA | Vietnam.

Ready to be part of our journey? Check out our \[[Blog](http://mindera.com/blog)\] and our \[[Handbook](https://drive.google.com/file/d/1OIbfaags20r5g4CHBha2nrMoCLdMr2ZQ/view)\]!

Let’s build something amazing together!

## Apply

[Apply at Mindera](https://apply.workable.com/minderacraft/j/6577E523A0/apply)

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