Machine Learning/Ops Engineer - Remote

Overview

Aibidia is looking for a skilled ML/Ops Engineer to work on the Research and Development team to create and expand Aibidia's range of solutions. We are revolutionising cross-border business management with our SaaS platform, and need top-tier talent to contribute to the success in transforming how the large multinational companies manage transfer pricing processes. You will play a pivotal role in delivering an exceptional product to clients such as Nokia, Dyson, Bridgestone, and Olympus, to name a few.

In Short

• Design, build, and maintain end-to-end machine learning pipelines from data ingestion to deployment and performance monitoring.
• Automate ML workflows including model training, testing, and deployment using CI/CD best practices.
• Manage and optimize infrastructure for model serving using containerization (Docker), orchestration (Kubernetes), and Infrastructure-as-Code tools (e.g., Terraform) across cloud environments.
• Ensure reproducibility, versioning, and traceability of data, features, and models across the ML lifecycle.
• Implement monitoring systems for model performance, including accuracy, latency, data drift, and degradation detection.
• Collaborate with data scientists to transition research prototypes into scalable production-ready services.
• Lead model lifecycle management practices including retraining, rollback strategies, A/B testing, and shadow deployments.
• Ensure compliance with data privacy, security, and governance standards, including responsible AI principles.

Requirements

• ML pipeline orchestration by using tools like Airflow, Kubeflow, or Prefect.
• Setting up automated testing and deployment (GitHub Actions, Jenkins, GitLab CI, Azure DevOps Pipelines).
• Proficient with Docker, Kubernetes, Terraform for scalable deployments.
• Experience with MLflow, TensorFlow Serving, TorchServe, or similar.
• Setting up observability tools to track model/data drift, latency, and failures.
• Experience with AWS/GCP/Azure, especially their ML tools (e.g., SageMaker, Vertex AI).

Benefits

• A fair share of Aibidia's success, benefiting from a competitive compensation and incentive package.
• Flexible working hours with a hybrid working policy.
• Comprehensive healthcare package.
• Genuine drive towards physical and mental wellbeing, with initiatives by an internal organisational health and wellbeing committee.
• Regular team social events including Aibidia's summer and winter parties.
• The latest technology to ensure you can do your best work with the best tools.
• A boost for your professional development - performance-based growth is part of the company culture and there is a designated learning budget for every employee.
• An opportunity to be part of a global, fast-growing SaaS company revolutionising a traditional industry.
• A non-hierarchical atmosphere and stellar culture at the office.