Python AI ML Lead

Python AI ML Lead Location: Charlotte, NC Experience: 10+ Day 1 onsite Responsibilities: • Design, develop, and implement the behavioral logic and decision-making frameworks for autonomous AI agents. • Develop and maintain robust evaluation metrics and testing frameworks to assess agent performance and behavior. • Conduct in-depth analysis of LLM performance and identify areas for improvement within the context of agentic tasks. • Implement various LLM tuning techniques, including fine-tuning, prompt engineering, reinforcement learning from human feedback (RLHF), and other advanced methodologies. • Collaborate with research scientists and other engineers to explore novel approaches in agentic AI and LLM applications. • Contribute to the development of our AI platform and infrastructure to support the deployment and scaling of intelligent agents. • Stay up-to-date with the latest advancements in AI, machine learning, and specifically in the areas of agentic systems and large language models. • Document design specifications, implementation details, and experimental results. Qualifications: • Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. • Strong foundation in the principles of artificial intelligence, machine learning, and deep learning. • Proven experience in designing and implementing complex software systems, preferably in the context of AI agents or robotics. Good to have – experience in building Agents using Google Gemini Vertex tool set • Hands-on experience with large language models (LLMs) and their application to various tasks. Preference for Gemini LLMs • Experience with LLM tuning techniques and frameworks (e.g., Hugging Face Transformers, PyTorch, TensorFlow, Vertex AI). • Solid understanding of reinforcement learning principles and experience applying them to real-world problems (experience with RLHF is a plus). • Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks. • Excellent problem-solving, analytical, and debugging skills. • Strong communication and collaboration skills, with the ability 1 to effectively convey technical concepts to both technical and non-technical 2 audiences. Bonus Points: • Experience with cognitive architectures or symbolic AI approaches. • Familiarity with simulation environments for training and evaluating AI agents. • Contributions to open-source AI/ML projects. • Publications in relevant AI/ML conferences or journals. Contact: Snehil Mishra 📧 snehil@ampstek.com 📞 Desk: 609-360-2673 Ext. 125 🔗 LinkedIn 🌐 www.ampstek.com