AI Engineer developing production - ready AI solutions for business engagements. Collaborating with stakeholders to define high - value use cases on the Agentic AI platform.
About the role
- Sustainable AI Engineer optimizing sustainability features for AI workloads. Collaborating with engineers to minimize environmental impacts of AI model training and inference.
Responsibilities
- Research, design, and implement sustainability features to quantify and minimize the environmental impact of large-scale AI model training and inference.
- Collaborate with hardware and software engineers to ensure efficient model deployment on custom silicon solutions.
- Explore new techniques for improving model footprint, model throughput, and hardware utilization.
- Develop and implement distributed scheduling strategies for carbon-aware large-scale model deployments across high-performance computing infrastructures.
- Conduct performance benchmarking and profiling of ML workloads on custom accelerators.
- Stay up to date with advancements in deep learning, sustainability, and AI hardware to bring innovative ideas into Openchip’s AI strategy.
- Participate in technical discussions and contribute to Openchip’s AI research and development roadmap.
Requirements
- MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Publication record is a plus.
- Hands-on experience in training and deploying AI models, particularly LLMs or equivalent large architectures.
- Strong programming skills in Python and proficiency with ML frameworks, such as PyTorch or TensorFlow.
- Strong knowledge of deep learning model optimization techniques, such as pruning, quantization, knowledge distillation, and reasoning optimization.
- Experience in sustainability topics is highly desirable.
- Familiarity with hardware/software co-design principles and methodologies is considered a plus.
- Fluent in English is a must; knowledge of additional European languages (German, Dutch, Spanish, French, or Italian) is a plus.
Benefits
- Join an innovative team and experience company growth.
- We believe in investing in our employees and providing them with opportunities for growth and career development.
- Work in a hybrid environment with flexible scheduling.
- We offer a remuneration that values your experience.
- A chance to work at one of the most transformative AI and silicon engineering companies in Europe.
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