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.
But “Digital Transformation” is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.)