Advertised through Alldus International Consulting Limited

Senior AI / ML Production Engineer.

Dublin · Contract

About this role

Our client, a global life sciences organization based in Dublin, Ireland, is hiring a Senior AI / ML Production Engineer to join their team remotely on a 12-month daily-rate contract. The successful candidate will transform experimental AI and machine learning models developed by internal Data Science teams into secure, scalable, production-grade solutions for clinical trial environments.

Responsibilities

  • Transform prototype Python algorithms and machine learning models into reliable, production-ready APIs, microservices and automated data pipelines.
  • Design, build and maintain enterprise-grade CI/CD and MLOps pipelines supporting automated testing, deployment, model versioning and monitoring.
  • Refactor and optimise research code to improve runtime performance, scalability and memory efficiency when processing large clinical datasets.
  • Collaborate with backend engineering teams and cloud architects to integrate AI services into existing AWS and Azure environments.
  • Implement model monitoring, telemetry, performance tracking and drift detection to maintain long-term reliability and reproducibility in production.
  • Ensure all production systems and pipelines comply with GDPR, HIPAA, GxP and other applicable data privacy and regulatory requirements.

Skillset

  • At least 5 years of professional software engineering experience, including a minimum of 3 years focused on production ML engineering or MLOps.
  • Expertise in Python, with experience using frameworks and libraries such as Pandas, PyTorch, TensorFlow, FastAPI or Flask.
  • Hands-on experience with MLOps and data orchestration tools such as MLflow, Databricks, Kubeflow, Airflow or DVC.
  • Strong experience with AWS or Azure, alongside Docker, Kubernetes, and CI/CD platforms such as GitHub Actions, Azure DevOps or Jenkins.
  • Strong understanding of SQL and NoSQL databases, Spark, distributed computing and large-scale complex data processing.
  • Previous experience within life sciences, pharmaceuticals, clinical research, healthcare or another highly regulated industry is a bonus.

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