Embedded Machine Learning Internship Jobs in Oregon

Job Summary:
A-dec Inc. is committed to delivering high-quality products and services for the dental industry while providing a rewarding employment experience. The AI Engineer, Sr will play a crucial role in developing and implementing applied artificial intelligence solutions that enhance automation, decision making, and predictive insights across various business functions.
Responsibilities:
• Design, develop, validate and deploy AI driven solutions that support automation, predictive analytics, forecasting, and decision support across the business
• Build and maintain machine learning models and AI services used in production environments
• Design and orchestrate multi agent AI systems, including LLM based agents, agent routing and collaboration, and MCP enabled data and tool APIs for secure, scalable enterprise workflows
• Build and optimize LLM capabilities using retrieval augmented generation, model fine tuning, and interface integration to deliver reliable, high quality AI outputs in production environments
• Integrate AI capabilities with existing enterprise systems such as ERP, CRM, data platforms, and workflow tools
• Implement data pipelines and feature engineering processes to support reliable model training and inference
• Evaluate and integrate third party AI platforms, APIs, and tools where appropriate
• Establish best practices for model deployment, monitoring, performance tuning, and lifecycle management
• Support enterprise data governance by partnering with data owners to define data contracts and ensure data quality and consistency across pipelines
• Ensure AI solutions meet security, privacy, and responsible AI standards
• Collaborate with software engineers, data engineers, and IT teams to ensure scalable and maintainable implementations
• Measure and communicate business impact of AI solutions using clear metrics and outcomes
• Document system designs, models, and operational processes to support knowledge sharing and scalability
• Manages, leads, and/or assists various new or sustaining technology projects; performs light project management duties as required
• Stay current with applied AI trends and recommend practical innovations that align with business goals
Qualifications:
Required:
• Bachelor’s degree in computer science, engineering, data science, mathematics, or a related technical field, or equivalent practical experience
• Successful candidates typically possess over 8 years of relevant professional or technical engineering experience of increasing responsibility and difficulty of assignments
• Experience building and deploying applied AI or machine learning solutions in production environments
• Hands on experience with at least one machine learning framework such as scikit learn, PyTorch, or TensorFlow
• Practical experience using large language models via APIs for real world business use cases
• Experience designing and implementing AI driven automation or agentic workflows
• Programming languages: Python for building AI models, automation, and production services
• SQL for working with structured data used in analytics, forecasting, and model inputs
• Strong understanding of data pipelines, feature engineering, and data quality fundamentals
• Experience integrating AI solutions with existing enterprise systems using APIs
• Familiarity with cloud-based AI services and deployment patterns
• Applied model evaluation and testing expertise, including prompt testing, experimentation and A/B testing, system integration testing and production monitoring
• Experience optimizing costs for LLMs and agentic systems in cloud environments, including inference efficiency, token usage, and model selection tradeoffs
• Understanding of software engineering best practices including version control, testing, and documentation
• Knowledge of security, privacy, and responsible AI considerations in business environments
Preferred:
• JavaScript or TypeScript for integrating AI capabilities into web applications or internal tools
• Bash or shell scripting for automation and deployment tasks
• Experience with agentic AI frameworks or orchestration tools such as LangChain, LlamaIndex, AutoGen, or MCP based patterns
• Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage
• Familiarity or experience with Dynamics 365, Snowflake and Microsoft Fabric
• Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management
• Experience with data pipeline and workflow tools such as Airflow, dbt, or cloud native orchestration services
• Applied statistics and model evaluation skills, including experiment design and statistical validation, to ensure reliable and unbiased AI driven decision support and forecasting
• Experience evaluating and integrating third party AI platforms or vendors
• Exposure to automation platforms, RPA tools, or workflow engines where AI is embedded into business processes
• Familiarity with emerging AI regulations and auditability techniques
• Ability to mentor or guide others on applied AI best practices
Company:
Innovation. Creativity. Evolution. If these are words you’re passionate about, we should chat. Founded in 1964, the company is headquartered in Newberg, USA, with a team of 1001-5000 employees. The company is currently Late Stage.