Conch Technologies Inc
AI/ML Engineer
Chandler, Arizona, USA · contract, third party
Sponsorship not specifiedDetected 47 days ago
PythonMachine LearningTensorFlowPyTorchNLPLLMsAgentic AIResearchCommunicationCollaborationProblem Solving
About the role
- Conduct in-depth analysis of LLM performance and identify areas for improvement within the context of agentic tasks.
- Stay up-to-date with the latest advancements in AI, machine learning, and specifically in the areas of agentic systems and large language models.
- Strong foundation in the principles of artificial intelligence, machine learning, and deep learning.
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.
- 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.
- Document design specifications, implementation details, and experimental results.
Requirements
- 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).
- Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks.
Nice to have
- 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.
Skills
- Email: Conch Technologies Inc | 6750 Poplar Ave # 711, Memphis, TN 38138, United States
Benefits
- Implement various LLM tuning techniques, including fine-tuning, prompt engineering, reinforcement learning from human feedback (RLHF), and other advanced methodologies.
Apply directly at Conch Technologies Inc →Create a free account for alerts like thisView Conch Technologies Inc immigration profile
This listing is sourced directly from Conch Technologies Inc's careers page and normalized into a canonical job model.