#13972
planning, architecture and research.
Employs best practices in LLM space for prompt engineering, fine-tining and creating vector datasets using Ansys tools and products.
Collaborate with product engineering teams to drive real-time model implementations and new feature creations.
Design efficient model pipelines to deploy foundation models.
Publish influential research outcomes, and give presentations in top-tier conferences and journals.
Works independently with minimal supervision and may take on some planning and mentoring responsibilities.
Minimum Education/Certification Requirements and Experience
BS in Engineering, Computer Science, or related field.
Required Minimum Years of Professional Experience: BS+5, MS+3, or PhD+1
2 years of experience with Deep Learning specifically in LLMs/SLMs
Publications or hands-on experience in large foundation model development, computer vision, data synthesis, knowledge distillation, and distributed/decentralized system design.
Experience developing machine learning code in C++ or Python
Expertise in C++ or Python with focus on deep learning frameworks like TensorFlow, PyTorch, JAX, or Scikit Learn
Preferred Qualifications and Skills