AI/ML/LLM - Proof of Concept Engineer

at  Cisco Systems

WHO YOU ARE

We are seeking an innovative and skilled Machine Learning/LLM Engineer to join our team as a Proof of Concept engineer. The ideal candidate will be responsible for implementing and testing open-source models on our compute products tailored to meet the unique needs of our customers. If you are passionate about AI and thrive on bringing innovative solutions to life, we encourage you to apply for this exciting role. Join us in delivering state-of-the-art AI applications that make a real difference for our customers.

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

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