AVEVA · 5 hours ago
Artificial Intelligence Graduate- US
AVEVA is a global leader in industrial software, recognized for its innovative solutions and commitment to sustainability. They are seeking passionate graduates to join their R&D team, where the role involves developing AI capabilities and building AI-enabling platform services for their product portfolio.
ChemicalComputerData MiningElectronicsIndustrial ManufacturingInformation TechnologySimulationSoftware
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
Qualification
Required
Eligible for full-time work authorization in the United States upon completing their education
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 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
Preferred
Knowledge of C# and .Net would be an advantage
Prior internships, coursework projects, or research experience in AI/ML is a strong plus
Benefits
Competitive salary
High quality healthcare
401(k) with 6% employer match
FSA and supplemental insurance
Paid parental leave
20 days PTO with increase for time served
7 days of sick time
3 days paid volunteering
Flexible lifestyle benefits (commuter plans, backup care, emergency leave and fitness/education reimbursement opportunities)
Company
AVEVA
AVEVA is an engineering IT software provider to plant, power, and marine industries.
H1B Sponsorship
AVEVA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
unknown2022-09-21Acquired
1999-03-19IPO
Leadership Team
Recent News
LogisticsGulf
2025-11-27
Company data provided by crunchbase