Machine Learning Engineer (DSC|SN)

The incumbent will design, build, and deploy agentic AI models, ensuring robust performance across digital twin simulations and real-world production systems. Responsibilities include designing and implementing agentic AI models capable of autonomous decision-making, planning, and tool use in complex environments. This role requires 5+ years of experience in machine learning engineering or applied AI, with demonstrated success in deploying ML models in simulation and real-time operational contexts. Candidates must possess strong proficiency in ML frameworks like PyTorch/TensorFlow and experience with agentic/reinforcement learning tools.