Data Scientist

Are you passionate about Reinforcement Learning (RL) and ready to make an impact in real-world projects? Join our team as an RL Engineer to contribute to groundbreaking advancements in artificial intelligence and machine learning. We’re looking for someone with hands-on expertise in RL, a proven ability to lead innovative projects, and a desire to push technological boundaries. About the Role: • Apply RL concepts to real-world challenges, leveraging your expertise in environment-agent dynamics, reward mechanisms, and policy optimization. • Lead development, implementation, and optimization efforts for RL models, preferably on platforms like AWS SageMaker. • Collaborate across teams to expand RL solutions into new domains and refine existing systems. • Develop and articulate reward functions to optimize agent performance. • Document design decisions and communicate RL strategies effectively to technical and non-technical audiences alike. Responsibilities: • Proven experience applying RL principles in complex, real-world projects. • Expertise with AWS SageMaker (or similar platforms) for ML development/deployment. • Deep understanding of RL core concepts, algorithms (like PPO, DQN, Actor-Critic), and frameworks. • Operational know-how in RL model deployment, CI/CD pipelines, and experimentation workflows. • Strong problem-solving skills and ability to lead cross-functional collaborations.