Cisco AI/ML/LLM 

United Kingdom, England, London 

270395755

This customer-facing role involves close collaboration with our field sellers, business units, and partners to translate customer requirements into effective solution demonstrations. You will play a crucial role in demonstrating the potential and practicality of our technologies in supporting LLM/GenAI workloads through the successful execution of POC projects.

What You’ll Do

• Collaborate with multi-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 partners, 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 standard methodologies to ensure innovative POC development.
• Provide technical expertise and support throughout the sales process

Minimum Qualifications:

• Bachelor's in a STEM field with 4+ years of experience or Master’s with 2+years of experience
• 2+ years experience developing Machine Learning (ML), Large Language Models (LLM) and/or Gen AI solutions
• Experience with Python and AI/ML related frameworks such as TensorFlow, PyTorch or JAX
• Experience working with software development standard processes such as SDLC, version control (e.g., Git), testing methodologies, and/or code optimization techniques.
• Experience with Linux operating system and associated development tools/utilities.

Preferred Qualifications:

• Experience building and presenting Proof-of-Concept (POC) demos
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Demonstrated coding expertise through published GitHub repositories and code examples
• Knowledge of data pre-processing, feature engineering, and model evaluation techniques.
• Experience 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 networking concepts

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