Chief Machine Learning Strategist

2 days ago

Dublin, Dublin City, Ireland beBeeMachineLearning Full time €100,000 - €180,000
Job Description

A senior machine learning engineer is required to lead the development and deployment of scalable ML systems that drive innovation and deliver measurable impact across the business.

The ideal candidate combines deep technical expertise with strong engineering discipline and a passion for solving real-world problems, including building robust ML pipelines, optimizing model performance, and collaborating with cross-functional teams to integrate intelligent solutions into production environments.

Key Responsibilities
  • Developing machine learning–driven analytical solutions and identifying opportunities to support business needs in a scalable and automated manner, facilitating informed recommendations and decisions.
  • Designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations.
Requirements
  • Proven experience designing, building, and deploying machine learning systems in production.
  • Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).
  • Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing.
  • Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred.
  • Familiarity with MLOps practices including CI/CD, model monitoring, and automated retraining.
  • Excellent communication and stakeholder management skills.
  • Demonstrated ability to mentor and grow technical teams.
Corporate Security Responsibility
  • All activities involving access to Mastercard assets, information, and networks come with inherent risk to the organization and every person must be responsible for information security.
  • Abide by security policies and practices; ensure the confidentiality and integrity of information; report any suspected information security violation or breach; complete periodic mandatory security trainings.

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