Senior Data Intelligence MLOps Engineer
Core
Design, build, and maintain the backbone of the Machine Learning lifecycle, industrializing AI by automating the journey from raw data curation to model deployment.
Role type
Senior IC MLOps Engineer
Builds
Robust, production-grade ML pipelines and CI/CD systems for connected devices
Domain
Consumer electronics / Machine Learning Operations
Deliverable
production ML models
Required skills
End-to-end pipeline orchestration, ML CI/CD/CT implementation, Infrastructure as Code, Model monitoring & observability, Model registry & feature store management, Security & compliance in ML
Preferred skills
Kubeflow, Airflow, Dagster, Prefect, Docker, Kubernetes, AWS SageMaker, GCP Vertex AI, Azure ML, Git, DVC, MLflow, GitHub Actions, GitLab CI, Jenkins, Python, Bash
Technologies
Kubeflow, Airflow, Dagster, Prefect, Docker, Kubernetes, MLFlow, AWS SageMaker, GCP Vertex AI, Azure ML, DVC, MLflow, GitHub Actions, GitLab CI, Jenkins
Responsibilities
Build and manage automated workflows for data preparation, feature engineering, model training, and evaluation; Develop Continuous Integration, Continuous Deployment, and Continuous Training systems; Manage scalable Machine Learning infrastructure using IaC; Implement dashboards and alerts for model drift, data skew, and system performance; Maintain the Model Registry and Feature Store; Ensure data privacy and secure access controls throughout the ML lifecycle
Seniority
Senior, hands-on IC
