MLOps Engineer (Remote from: Serbia, Poland, Croatia, Portugal)

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.

• 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.

• 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.

• Full CET overlap.
• Locations: Only Serbia, Portugal, Poland, Croatia.