2 hours ago
Singapore, SingaporeStaff+
Responsibilities
- Architect and design end-to-end AI systems, including data pipelines, ML pipelines, distributed training, and serving architectures.
- Provide deep technical support for go-to-market, pre-sales, post-sales activities, technical deep dives, PoCs, bake-offs, and hackathons.
- Engage executives, data scientists, developers, DevOps teams, and IT leaders to communicate Red Hat AI’s technical and business value.
- Implement AI systems design and MLOps practices to move customer projects from experimentation into production.
- Advocate for Red Hat AI products and relay customer and market feedback to Red Hat business and engineering teams.
- Lead conference presentations, technical blog posts, workshops, and volunteer technology-community activities.
- Enable partners and internal teams on modern AI and ML architectural patterns across the region.
Requirements
- 15+ years of enterprise architecture experience.
- 7+ years of hands-on experience in machine learning use-case development and MLOps in enterprise environments.
- Strong foundational and applied knowledge of deep learning architectures, including CNNs, RNNs, and LSTMs.
- Proven experience designing and deploying generative AI architectures involving LLMs, prompt engineering, and fine-tuning strategies.
- Proficiency in Python and the end-to-end data science lifecycle.
- Ability to architect and explain complex data and ML pipelines, distributed training, and high-scale inference to technical and non-technical audiences.
- Exceptional presentation skills for executive business-value sessions and technical workshops.
- Hands-on experience with Red Hat OpenShift AI and Red Hat Enterprise Linux AI.
- Familiarity with the Granite model family and InstructLab methodology.
- Deep understanding of vLLM inference optimization and model-serving frameworks including KServe and ModelMesh.
- Practical experience with RAG, agentic workflows, and vector databases.
- Experience with Ansible and automation solutions for MLOps and LLMOps workflows.
- Advanced knowledge of PyTorch, TensorFlow, and the Jupyter ecosystem.
- A degree in Computer Science, Mathematics, or a related technical field is preferred.
- Fluency in English is required; Mandarin fluency is strongly preferred.
Benefits
- Red Hat supports flexible work environments, ranging from in-office and office-flex to fully remote depending on role requirements.
- Red Hat provides reasonable accommodations to applicants with disabilities.
- The company offers an open, inclusive, community-powered work culture and equal-opportunity employment.
About Red Hat
Red Hat is the world’s leading provider of enterprise open source solutions, using a community-powered approach to deliver high-performing Linux, hybrid cloud, edge, and Kubernetes technologies. We hire creative, passionate people who are ready to contribute their ideas, help solve complex problems, and make an impact. Opportunities are open. Join us.