Overview: We are seeking a highly skilled senior Machine Learning Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment while taking ideas from theory into deployment. You will play a crucial role in enhancing our CNTIENT automated space asset scheduling solution with cutting-edge machine-learning algorithms and models. It is important for you to possess a passion and have experience with reinforcement learning (RL) models, managing complex data sets, and data fusion methodologies. Location: Houston - hybrid in the office 2-3 times a week What you will be doing: Develop, train, and deploy RL models to analyze and interpret complex data, enhancing predictive accuracy and uncovering hidden patterns in large datasets while ensuring compliance with operational specifications. Design and implement data fusion algorithms to integrate information from multiple sources, ensuring real-time situational awareness. Containerize decision-making algorithms and capabilities for on-edge deployment. Collaborate with cross-functional teams to identify and prioritize AI/ML applications that address key milestones and requirements.