This is a remote position. Title: QXNT Benefit Configuration SME Duration: 12+ months Location : Remote Must Haves: Solid knowledge of commercial, Government benefit structures and plan designs ( HMO, PPO, POS, ASO etc.) Expertise in QNXT core modules Benefit Config, Claims, Enrollment, authorization Configure and test benefits offline during initial setup or annual renewal cycles Proficient in benefit design to include multi-tier copay, service codes, copays, deductibles, and accumulator Data
Senior Data Scientist (Reinforcement Learning must have) Location: 100% Remote Duration: 6 Months contract Reinforcement Learning (RL) Skill Set Understanding of Sequential Decision MakingRL focuses on agents making a series of decisions to maximize cumulative reward.Requires knowledge of Markov Decision Processes (MDPs), policy/value functions, and Bellman equations.Algorithmic Expertise in RLFamiliarity with algorithms like:Q-learning, SARSADeep Q-Networks (DQN)Policy Gradient methods (REINFO
Position is 100% Remote Please note I have direct access to the Hiring Director on this position. Compensation: Base Salary + Bonus This is an outstanding opportunity for a Windchill Developer to be involved in a large-scale global rollout, implementation and feature expansion and enhancements of Windchill PLM, QMS and ThingWorx on Windchill+. We are the leading Global Biotech Company in our niche and are looking for a 100% Remote PTC Windchill Developer/Configurator due to company expansion. We
