
Machine Learning Architect
Posted May 20

Posted May 20
This is a fully remote position, open to applicants in South Africa.
• Define and spearhead the architecture for scalable Machine Learning and AI platforms.
• Create comprehensive ML workflows utilizing Databricks, which encompass: Feature engineering, Model training, Experimentation, Deployment, and Monitoring.
• Design scalable data pipelines for AI/ML operations using technologies such as Apache Spark, Python, and SQL.
• Establish best practices for MLOps that include: CI/CD for ML, Model versioning, Model governance, Automated retraining, Model drifting, and Observability and monitoring.
• Develop secure and compliant AI architectures that adhere to governance and privacy standards.
• Collaborate with Data Engineering teams to enhance data models and feature stores.
• Mentor Data Scientists and ML Engineers on scalable production design patterns.
• Assess and incorporate contemporary AI capabilities, which include (this will be a plus): LLMs, Vector databases, Retrieval augmented generation (RAG), and AI agents.
• Promote cost efficiency, scalability, and operational excellence across ML platforms.
• Define reference architectures and best practices across numerous ML teams (not limited to a single project).
• Facilitate stakeholder engagement and convert business requirements into scalable technical solutions.
• Over 8 years of experience in Data, AI, or Machine Learning Engineering roles.
• More than 3 years of experience in designing ML platforms or AI architecture at scale.
• Strong practical experience with:
• - Databricks
• - Apache Spark
• - Python
• - SQL
• In-depth understanding of:
• - MLOps
• - ML lifecycle management
• - Distributed ML systems
• - Feature engineering
• - Model deployment methodologies
• Experience with Databricks Unity Catalog, Delta Lake, and Lakehouse architecture.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Proven track record of deploying ML models in production settings.
• Strong expertise in data architecture and scalable ETL/ELT processes.
• Experience with orchestration frameworks like Apache Airflow.
• Excellent stakeholder communication and technical leadership abilities.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and remote work opportunities.
• Professional development and continuous learning support.
• A collaborative and innovative work environment.
Hyatt
Scopic
Perform
Greenlight Planet
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