Machine Learning/Ops Engineer

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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.

This role is based in Finland, and can be located at either our Helsinki or Tampere offices, or remotely from the UK.

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• 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.
  

Must have:

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• 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)
  

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• Nice to have:
  
• Knowledge of Kafka, Spark Streaming, or Flink for streaming data processing
  
• Using Terraform for provisioning
  
• Experience managing and deploying large language models or embedding pipelines
  
• Managing compute/storage costs in cloud-based ML workflows
  

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• 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.
  

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.

Aibidia, founded in 2018, provides the technology that enables multinational enterprises to make more considered transfer pricing decisions. Our connected, end-to-end platform provides organizations the ability to take full control of their business and implement considered tax strategies across the entire group. With over 5,000 legal entities managed on our platform and an average revenue of 7 billion Euros among our clients, we are dedicated to helping the world’s largest enterprises transform their cross-border business management, leading to healthy global business.

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• Mid-Senior level
  

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• Full-time
  

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• Engineering and Information Technology
  

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• Software Development
  

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