Senior AI/ML Computational Scientist
Remote • Brussels
Posted 14h ago
Job Location
Brussels
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
As a Senior AI/ML Computational Scientist, you will be responsible for designing, building, and operationalizing AI and ML solutions for enterprise clients. This involves a blend of custom models and cloud/third-party AI services to achieve production-ready outcomes. Your work will cover the entire solution lifecycle, from assessing client needs and data, to selecting and customizing models (including Deep Learning, Generative AI, and LLMs), and designing scalable data and MLOps/LLMOps pipelines for both training and production environments. You will also 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 to support model training and production with DevOps & MLOps.
- Customize and apply Deep Learning and Gen AI models for various use cases based on business needs, data availability, and system/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
- Significant experience as a machine learning engineer or scientist, deploying models in production at scale.
- Solid experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
- Considerable experience in distributed computing systems and architecture.
- Professional experience in building and deploying AI/ML based software to a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks.
- Familiarity with relevant libraries and frameworks such as TensorFlow and PyTorch.
- Experience working with language models like LLM's APIs and optimizing their usage.
- Experience with programming languages: Python, C++, Java, R, SQL.
- Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders.
- Strong client-facing skillsets in a consulting environment.
- Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams.
- Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation.
- Bachelor's Degree or equivalent.