About the roleAs a Senior ML Platform Engineer, you will take ownership of designing, building, and maintaining the infrastructure that powers our Generative AI framework. You will architect scalable, secure ML environments across development, testing, and production, while automating the entire ML lifecycle—from data ingestion and model training to deployment and monitoring.Your ResponsibilitiesDesign, build, and maintain scalable and secure ML infrastructure across development, testing, and production environmentsAutomate and optimize the ML lifecycleArchitect and manage the continuous integration and deployment pipelines and release processes using tools such as Kubeflow, MLflow, or custom Kubernetes solutionsImplement monitoring systems for data drift, model performance, and infrastructure healthDevelop tooling: Build and enhance ML engineering tooling for Model Development, Model Workbench, Model Training, Model Monitoring, and Model servingWork closely with data scientists and ML engineers to ensure reproducibility, scalability, and production-readiness of modelsDesign and maintain pipelines for feature extraction, transformation, and storage using tools like Feature Store or custom solutionsEnsure data quality, consistency, and lineage throughout the ML pipelineEnsure responsible use of data, model explainability, and auditability in line with organizational and legal standardsQualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or related field5+ years in DevOps/software engineering/infrastructure, with 2–3 years in MLOps or production ML systemsProficiency in Python, Bash or Go is a plusModel versioning, monitoring, and lifecycle managementStrong with ML tooling (MLflow, Kubeflow, Airflow, SageMaker, etc.)Infrastructure-as-Code (Terraform; Pulumi plus) and CI/CD pipelines (GitLab CI, Jenkins, ArgoCD)Cloud platforms (AWS, GCP, or Azure)Proven track record with GPU-accelerated systems at scaleExperience with cluster/cloud compute technologies (SLURM, Lustre, k8s)Benchmarking expertise (software & hardware)Strong problem‑solving/debugging with the ability to lead infra initiatives independentlyExcellent communication and cross‑functional collaborationWhat we offerA dynamic, highly, and diverse team in which your contributions are reflected directly in our products and used by our international customer baseFlat hierarchies and short decision‑making processesExciting and varying tasks for our product portfolioExcellent working environment, modern office space, and flexible working hours with the option of mobile workingWe are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. #J-18808-Ljbffr