Artificial Intelligence Graduate- US

Work Type: Hybrid (3 days a week in office)

Work Authorization: This application is intended for candidates that are eligible for full-time work authorization in the United States upon completing their education.

• Please be prepared to answer the following in your application:Do you now or will you in the future require sponsorship for employment visa status (e.g. H-1B F1 CPT OPT visa status etc.) to work legally in the United States

Office Location: Lake Forest CA

Artificial Intelligence and Machine Learning atAVEVA

We are looking for passionate graduates to join our R&D this role you will help develop AI capabilities into our existing suite of products or help build AI-enabling platform services and public APIs that are secure reliable and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVAs product portfolio and partner ecosystem.

You will part of a Scrum team to build innovative standards-compliant secure and production-grade AI capabilities with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up.

Key Responsibilities:

• Collaborate with cross-functional teams to design develop and deploy machine learning models and AI solutions for real-world problems.
• Assist in data collection preprocessing and exploratory data analysis to ensure high-quality datasets for model training and evaluation.
• Implement test and optimize machine learning algorithms using relevant libraries and frameworks such as TensorFlow PyTorch or scikit-learn.
• Contribute to the development and refinement of AI pipelines including data ingestion feature engineering model selection and validation.
• Conduct literature reviews to stay updated on the latest trends techniques and developments in the field of AI and machine learning.
• Document technical processes experiments and results to facilitate knowledge sharing and reproducibility within the team.
• Participate in code reviews brainstorming sessions and team meetings to foster a collaborative and innovative working environment.
• Present findings analyses and results effectively to both technical and non-technical stakeholders.

Desired Skills and Knowledge in AI/ML:

• Solid understanding of foundational AI and machine learning concepts including supervised and unsupervised learning classification regression clustering and model evaluation.
• Familiarity with algorithms such as linear regression logistic regression decision trees support vector machines neural networks and ensemble methods.
• Proficiency in programming languages commonly used in AI/ML such as Python or R along with experience using relevant libraries (e.g. NumPy pandas scikit-learn TensorFlow PyTorch). Knowledge of C# would be an advantage.
• Knowledge of data preprocessing techniques feature selection and dimensionality reduction.
• Basic experience with data visualization tools and techniques to communicate insights from data.
• Understanding of deep learning architectures particularly transformer models and foundational knowledge of Large Language Models (LLMs) and generative AI concepts.
• Familiarity with prompt engineering techniques for interacting with generative AI models and basic knowledge of RAG (Retrieval Augmented Generation) architectures.
• Awareness of emerging AI interoperability standards such as Model Context Protocol (MCP) and Agent2Agent (A2A) and their role in building interconnected AI systems.
• Ability to work with version control tools such as Git and familiarity with collaborative development practices.
• Strong problem-solving skills analytical thinking and attention to detail.
• Excellent written and verbal communication skills.
• Prior internships coursework projects or research experience in AI/ML is a strong plus.

AVEVA requires all successful applicants to undergo and pass a drug screen before they start employment. All drug screens are in accordance with federal laws and regulations.