Machine Learning Engineer - Belgrade

Job summary

As a Machine Learning Engineer at SMG's Real Estate Business Unit, you will be instrumental in bridging the gap between data science research and reliable, scalable machine learning systems in production.

Responsibilities

• Translate data science prototypes into production-ready machine learning systems, collaborating closely with data scientists.
• Build and maintain robust and scalable data pipelines for feature engineering, model training, inference, and monitoring.
• Own the full model lifecycle: CI/CD, deployment, model versioning, observability (including drift and SLA monitoring), and retraining.
• Optimize models for real-time applications, focusing on speed, reliability, and system integration (e.g., quantization, pruning).
• Partner with Data Engineers, Software & Platform Engineers to ensure the infrastructure can support modern ML workloads and latency-sensitive use cases.
• Contribute to the design of ML architecture and internal tools that empower the data science team to experiment and deploy models efficiently.
• Drive the adoption of engineering best practices within the data science team, including code reviews, testing frameworks, and reproducibility standards.
• Take part in stakeholder conversations to align on measurable success criteria, data availability, and production KPIs.
• Support and maintain production ML systems

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