Embedded NLP Lead

Job Description

Key Responsibilities Develop and maintain autonomous agents using Python. Implement and integrate AI and LLM technologies into autonomous systems. Collaborate with cross-functional teams to design and develop innovative solutions. Analyze and evaluate the performance of autonomous agents and AI/LLM models. Grade and provide feedback on AI/LLM model results to ensure optimal performance. Stay updated with the latest advancements in AI, machine learning, and autonomous systems. Document development processes and technical specifications clearly. Troubleshoot and resolve issues related to autonomous systems and AI/LLM implementations. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and software development. Strong understanding of AI, machine learning, and LLM concepts. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Ability to evaluate and grade AI/LLM model outputs accurately. Knowledge of autonomous systems and agent-based modeling. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of natural language processing (NLP) techniques and applications. Familiarity with robotics and control systems. Previous experience in developing autonomous systems or similar technologies.