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. 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.
Requirements
- 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.
Benefits
- Health Insurance
- Flexible working hours
- Open holidays, take the time you need for yourself
- Profit distribution for everyone
- Mindera Annual Trip
- Sports
- Sharing groups to connect and have fun!
- Training & conferences, create your own training plan
- Child Care vouchers
- Other good things
- Choose Laptop & Peripherals that best suit your needs
- Hotspot with unlimited usage (PT), for work or Netflix
