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AI Research Engineer – Reinforcement Learning

1 years

0 Lacs

greater bengaluru area

Posted:6 days ago| Platform: Linkedin logo

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Skills Required

ai research reinforcement learning robotics manufacturing algorithms automation model pybullet software python tensorflow pytorch simulation monitoring deployment iot

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview


AI Research Engineer


Key Responsibilities

RL-based models

model-free and model-based RL algorithms

deep reinforcement learning (DQN, PPO, SAC, TD3, etc.)

simulated environments (e.g., MuJoCo, PyBullet, Isaac Gym) and real-world deployment

multi-agent RL, imitation learning, and curriculum learning

cross-functional teams

scalable RL frameworks

intelligent control, adaptive learning, and human-AI collaboration


Qualifications & Experience


Computer Science, Robotics, AI, or a related field

Over 1 year

deep reinforcement learning (DQN, PPO, SAC, A3C, etc.)

Python, TensorFlow/PyTorch, Gym, Stable-Baselines3, or RLlib

robotic simulation environments

digital twins, real-time control systems, and industrial automation

deploying RL models in real-world machines or robotics


Bonus Skills


hardware-in-the-loop (HIL) testing

MLOps for RL (model monitoring, retraining, deployment automation)

optimal control, Bayesian RL, and multi-agent learning

edge computing for AI in robotics and IoT applications

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