PHDTech

AI Engineer

• Design, develop, and deploy AI systems that address complex challenges in manufacturing applications and deliver measurable value to users.
• Build and optimize agentic AI systems that can autonomously execute tasks, interact with external tools and APIs, and make intelligent decisions.
• Craft and refine prompts for large language models, employing techniques such as few-shot learning, chain-of-thought reasoning, and instruction tuning to optimize model performance and reliability.
• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to identify AI opportunities, define requirements, and deliver integrated solutions.
• Monitor and maintain deployed AI systems, troubleshooting issues, optimizing performance, and ensuring scalability and reliability in production environments.
• Stay current with emerging AI research and technologies, evaluating new approaches and tools that could enhance our capabilities and recommending strategic directions for adoption.
• Document technical implementations, create knowledge-sharing resources, and mentor team members on AI engineering best practices and prompt optimization techniques.
• Validating results in real-world deployments with our customers
• Engaging with the technical community to present results externally, keep up to date on recent advances, and advance the state of the art

Data Scientist

• Oden is a Manufacturing AI company combining large-scale data processing and advanced ML to optimize manufacturing processes
• Develop and implement ML models for predictive quality, machine failure, and pattern extraction from timeseries data
• Explore manufacturing data including real-time process measurements, contextual data, outcomes (quality/cost/yield), and structured/unstructured knowledge
• Deploy real-time solutions via the Oden platform and validate results in real-world customer deployments
• Work closely with Customer Success, Product, and Engineering teams and directly with customers to identify requirements and deliver solutions
• Apply Data Science, Machine Learning, Statistics, and Generative AI (including natural language interfaces) to create customer-facing solutions and inform product roadmap

AI Engineer

Customer Data Scientist