Description

You will design and optimize machine learning algorithms for autonomous systems and robotics platforms.

Responsibilities

• Develop and implement machine learning algorithms focusing on reinforcement learning, deep learning, and computer vision.
• Design algorithms for autonomous navigation, including path planning, localization, and decision-making in dynamic environments.
• Research and develop methods to improve human-robot interaction for intuitive behavior.
• Utilize simulation environments like OpenAI Gym to test and refine models for reinforcement learning.
• Optimize machine learning models for deployment in resource-constrained environments to ensure low-latency and high accuracy.
• Collaborate with robotics engineers to integrate algorithms into platforms with a focus on real-time performance.
• Document AI algorithms, testing results, and methodologies to ensure reproducibility.

Required Skills

• 3-5 years of experience in AI/ML roles.
• Proficiency in Python, C++, or MATLAB.
• Experience with TensorFlow, PyTorch, or Keras.
• Familiarity with OpenCV or Dllib for computer vision tasks.
• Experience with computer vision and deep learning for object detection and tracking.
• Background working with autonomous vehicles, humanoid robots, or AI-driven products.
• Experience with robotics platforms involving reinforcement learning or machine perception.
• Experience using simulation environments such as OpenAI Gym.
• Bachelor or Master's degree in Computer Science, AI, or Data Science.

Key Skills

Education

Bachelor/ Masters in Computer Science, AI, or Data Science