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 youll play a key role in bridging data science and engineering teams ensuring smooth model deployment scalability and automation. Youll 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.
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 youll play a key r...
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 youll play a key role in bridging data science and engineering teams ensuring smooth model deployment scalability and automation. Youll 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.
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