- Work at the forefront of Agentic AI, and large-scale machine learning system
- exposure to model training, GPU infrastructure, and AI platform engineering
About Our Client
Our client is a global technology leader that develops advanced computing, data, and intelligent systems solutions used worldwide. Known for its commitment to innovation, research excellence, and engineering expertise, the organization invests heavily in artificial intelligence, high-performance computing, and digital transformation initiatives to solve complex business and industrial challenges. Employees benefit from a highly collaborative environment, access to cutting-edge technology, and opportunities to work alongside experienced engineers, researchers, and AI specialists on impactful projects with real-world applications.
Job Description
- Build and optimize large-scale ML and GenAI models.
- Develop AI agents and LLM-powered applications.
- Improve GPU training and inference performance.
- Design scalable ML pipelines and cloud-based AI solutions.
- Implement CI/CD and deployment frameworks.
- Collaborate with data scientists and engineering teams.
The Successful Applicant
- Strong experience in C++/Python and PyTorch.
- Hands-on experience with LLMs, GenAI, and AI agents.
- Knowledge of distributed training (DDP, FSDP, DeepSpeed, etc.).
- Experience with GPU optimization and ML platform engineering.
- Familiarity with Docker, Kubernetes, CI/CD, and cloud environments.
- Strong problem-solving and communication skills.
What's On Offer
- Competitive salary and bonus.
- Exposure to GenAI, Agentic AI, and large-scale AI systems.
- Opportunity to work with advanced GPU infrastructure.
- Strong career growth and learning opportunities.
- Collaborative and innovative engineering culture.
Contact
Quote job ref: JN-072026-7060589
