AI/ML/LLM – Proof of Concept Engineer

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. 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 will you 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 are we looking for:

• 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., TensorFlow, PyTorch, 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.

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.