TechSur Solutions
Federal IT Consulting • Emerging Technologies • Digital Transformation • Artificial Intelligence • Machine Learning
AI Engineer
December 9
TechSur Solutions
Federal IT Consulting • Emerging Technologies • Digital Transformation • Artificial Intelligence • Machine Learning
Description
• Design and develop AI agents leveraging OpenAI's GPT models and APIs to solve complex problems in real-world environments. • Collaborate with cross-functional teams to integrate AI agents into products, services, and tools. • Implement and fine-tune natural language processing (NLP) capabilities for AI agents, improving their comprehension and interaction with users. • Develop autonomous, multi-agent systems capable of communicating, learning, and collaborating to perform tasks and achieve goals. • Create pipelines for training, fine-tuning, and deploying AI models on various platforms, ensuring scalability and efficiency. • Research and integrate reinforcement learning techniques to improve agent performance and adaptability. • Analyze, debug, and optimize AI agents for performance, robustness, and scalability. • Stay current with the latest advancements in AI, ML, and NLP, particularly OpenAI's technology stack. • Contribute to creating best practices and documentation for the development and deployment of AI agents.
Requirements
• 3+ years of experience in AI/ML development, with a focus on AI agents, multi-agent systems, or autonomous systems. • Strong experience with OpenAI GPT models, APIs, and NLP technologies. • Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or similar. • Hands-on experience with reinforcement learning, deep learning, or generative models. • Familiarity with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes). • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders • Strong programming skills in languages such as Python, R, or Java. • Experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, or scikit-learn. • Strong problem-solving skills and the ability to work on multiple projects simultaneously. • Excellent communication and teamwork abilities.
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