Senior AI/ML Technologist

2 weeks ago


Singapore NVIDIA Full time

We are seeking a skilled Data Scientist to join our Solutions Architecture team in Singapore. This individual will work closely with our customers to develop and deploy cutting-edge AI and ML solutions using NVIDIA's state-of-the-art software and hardware technologies.

Key Responsibilities:

  • Collaborate with customers to identify and address their AI and ML needs, providing technical guidance and support throughout the project lifecycle.
  • Develop and deliver proof-of-concept demonstrations, showcasing the potential of NVIDIA's technologies to drive business value.
  • Work with cross-functional teams, including engineering, product, and sales, to ensure seamless delivery of solutions and meet customer expectations.
  • Stay up-to-date with the latest advancements in AI and ML, applying this knowledge to drive innovation and thought leadership within the organization.
  • Foster strong relationships with customers, partners, and internal stakeholders, ensuring effective communication and collaboration throughout the project.

Requirements:

  • 5+ years of experience in AI and ML development, with a strong background in computer vision, conversational AI, or data analytics.
  • Proficiency in deploying NVIDIA AI/HPC software frameworks, such as NGC.
  • Proven project management skills, with the ability to coordinate resources and drive projects forward.
  • Excellent communication and presentation skills, with the ability to deliver complex technical information to both technical and non-technical audiences.
  • Strong understanding of NVIDIA's software and hardware technologies, with the ability to apply this knowledge to drive business value.

Preferred Qualifications:

  • Experience working with NVIDIA's software libraries and GPUs, as well as OpenACC and CUDA optimization.
  • Familiarity with automation and orchestration tools, such as Python and C++ software development.
  • Strong industry expertise, with a deep understanding of how to integrate NVIDIA technology into enterprise computing architectures.


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