An international SaaS company with a strong focus on AI-driven enterprise solutions is expanding its R&D presence in Europe. The company builds large-scale cloud and AI platforms for global clients across professional services, finance, and consulting industries.
As an MLOps Engineer , you’ll play a key role in bridging data science and engineering teams, ensuring smooth model deployment, scalability, and automation. You’ll design, build, and maintain robust ML infrastructure and pipelines in a modern cloud environment.
Tasks
- Collaborate with data scientists and engineers to design and implement scalable MLOps workflows;
- Build and maintain automated pipelines for data processing, model training, validation, deployment, and monitoring;
- Develop and manage cloud-based infrastructure for ML workloads;
- Implement observability systems for model drift, data quality, and performance tracking;
- Promote and enforce best practices in MLOps, DevOps, and model governance;
- Mentor team members and contribute to establishing a strong engineering culture.
Nice to Have
Experience with Spark, Databricks, or similar big data processing frameworks;Familiarity with model registry systems (MLflow, Vertex AI, SageMaker);Knowledge of Python and ML frameworks (scikit-learn, TensorFlow, PyTorch);Background in Generative AI or LLM fine-tuning pipelines;Contributions to open-source MLOps or DevOps tools.Requirements
4+ years of hands-on experience in MLOps, Data Engineering, or DevOps;Strong understanding of machine learning lifecycle and concepts;Solid experience with cloud platforms (Azure, AWS, or GCP);Proficiency in containerization and orchestration (Docker, Kubernetes);Experience with CI / CD tools such as Jenkins, Airflow, or Azure DevOps;Familiarity with monitoring, observability, and model performance tracking;Excellent communication and collaboration skills.Benefits
Full CET overlap.Locations : Only Serbia, Portugal, Poland, Croatia.