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Cisco AI/ML/LLM 
Singapore, Singapore 
390836295

12.06.2024
What You'll Do
  • Collaborate with cross-functional teams to understand customer requirements and challenges.
  • Design, develop, and demonstrate ML/LLM/Generative AI use cases that address specific customer needs for POC testing.
  • Prototype and test (train/finetune/inference) ML/LLM solutions in real-world scenarios to validate their effectiveness.
  • Prepare detailed POC documentation, including system design, testing protocols, and performance metrics.
  • Present POC results to customers and stakeholders, highlighting the value and capabilities of the Cisco compute products.
  • Gather feedback from POC testing to iterate and improve the customer experience.
  • Stay up-to-date with the latest AI research, tools, and best practices to ensure cutting-edge POC development.
  • Provide technical expertise and support throughout the sales process, assisting in the technical qualification of sales opportunities.
Who You Are
  • Bachelor's or master’s degree in computer science, engineering, or a related field, or equivalent experience.
  • 2-5 years experience in developing scalable machine learning/LLM/Generative AI solutions.
  • Strong programming skills in Python and experience in AI/ML and associated frameworks (e.g. PyTorch, TensorFlow, JAX).
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Skilled in software development best practices, including version control (e.g. Git), testing methodologies, and code optimization techniques.
  • Experience with Linux operating system and associated development tools/utilities.
  • Excellent problem-solving abilities and a results-driven mindset.
  • Strong communication and presentation skills, with the ability to convey complex AI concepts.
  • Demonstrated expertise through published GitHub repositories and code examples.
  • Ability to work independently and in a team environment.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Desirable Skills
  • Familiarity with NCCL (NVIDIA Collective Communication Library) for optimized distributed computing, HPC experience with MPI or Slurm.
  • Understanding of distributed training and inferencing techniques.
  • Basic understanding of operating systems and networking concepts.
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