AI/ML Computational Scientist
Dublin
Posted 16h ago
Job Location
Dublin
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. This role involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes across the full solution lifecycle. You will assess client needs and data, select and customize models (including Deep Learning, Generative AI, and Large Language Models), design scalable data and MLOps pipelines for training and production, and ensure the quality, value, and reliability of deployed systems.
Responsibilities
- Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
- Develop and implement machine learning algorithms, models, and computational systems.
- Design and build scalable data pipelines for model training and production using MLOps practices.
- Customize and apply Deep Learning and Gen AI models for various use cases based on business needs, data, and infrastructure requirements.
- Engage in research and development of new AI and high-performance compute algorithms, models, and simulations.
- Work with large-scale datasets and utilize data preprocessing techniques.
- Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge.
- Justify the value of model approaches in business problems.
- Collaborate with business and technical teams to achieve end-to-end project goals and integrate solutions into production.
Requirements
- Proven experience as a machine learning engineer or scientist deploying models in production at scale, including monitoring and alerting.
- Experience applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
- Hands-on experience in distributed computing systems and architecture (big data, HPC, scientific compute, cloud computing).
- Experience building and deploying AI/ML-based software to a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Experience working with LLM APIs and optimizing their usage.
- Experience with programming languages: Python, C++, Java, R, SQL.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Strong client-facing skills in a consulting environment.
- Strong cross-functional collaboration skills.
- Entrepreneurial mindset with curiosity for emergent tech and driving innovation.
- Bachelor's Degree or equivalent.