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Machine Learning Engineer
2 months ago
Job Description:
AI Researcher - LLM/ML Infrastructure Specialist
We are seeking a highly skilled AI Researcher to join our team at European Tech Recruit. As a key member of our AI Innovation Team, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models.
Key Responsibilities:
- Develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems.
- Contribute significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency.
- Collaborate with cross-functional teams to design and implement efficient serving of large machine learning models at scale, leveraging libraries such as deepspeed.
- Design and develop high-performance computing clusters across GPU/TPU, preferably in PyTorch.
- Work with cloud platforms such as AWS, GCP, or Azure to optimize model deployment and training.
- Stay up-to-date with the latest AI research and implement cutting-edge systems.
Requirements:
- Exceptional ML engineering skills with experience in creating and managing high-performance computing clusters.
- Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing.
- Strong software engineering acumen with expertise in software design/architecture, particularly in Python.
- Experience working with cloud platforms such as AWS, GCP, or Azure.
- Understanding of the latest AI research and ability to efficiently implement these systems.
- Prior experience at a leading machine learning company is a plus.
What We Offer:
- A dynamic and innovative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
Key Words:
Machine Learning / LLM / Large Language Model / PyTorch / High Performance Computing / HPC / GPU / TPU / Deepspeed / AI / OpenAI / Distributed Systems
