Machine Learning/Ops Engineer
Role details
Job location
Tech stack
Job description
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Design, build, and maintain end-to-end machine learning pipelines from data ingestion to deployment and performance monitoring.
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Automate ML workflows including model training, testing, and deployment using CI/CD best practices.
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Manage and optimize infrastructure for model serving using containerization (Docker), orchestration (Kubernetes), and Infrastructure-as-Code tools (e.g., Terraform) across cloud environments.
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Ensure reproducibility, versioning, and traceability of data, features, and models across the ML lifecycle.
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Implement monitoring systems for model performance, including accuracy, latency, data drift, and degradation detection.
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Collaborate with data scientists to transition research prototypes into scalable production-ready services.
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Lead model lifecycle management practices including retraining, rollback strategies, A/B testing, and shadow deployments.
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Ensure compliance with data privacy, security, and governance standards, including responsible AI principles.
Requirements
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ML pipeline orchestration by using tools like Airflow, Kubeflow, or Prefect
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Setting up automated testing and deployment (GitHub Actions, Jenkins, GitLab CI, Azure DevOps Pipelines)
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Proficient with Docker, Kubernetes, Terraform for scalable deployments
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Experience with MLflow, TensorFlow Serving, TorchServe, or similar
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Setting up observability tools to track model/data drift, latency, and failures
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Experience with AWS/GCP/Azure, especially their ML tools (e.g., SageMaker, Vertex AI)
Nice to have:
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Knowledge of Kafka, Spark Streaming, or Flink for streaming data processing
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Using Terraform for provisioning
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Experience managing and deploying large language models or embedding pipelines
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Managing compute/storage costs in cloud-based ML workflows
Benefits & conditions
- 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.
We are committed to fostering an inclusive culture that celebrates diversity, we want you to bring you, no matter your background, gender, race or sexual orientation!
Please note, we're unable to provide visa sponsorship for this role. To be considered, you'll need to show proof of your eligibility to work in the country.
