
AI & Data Science Intern
Posted Aug 26

Posted Aug 26
This is a fully remote position, open to applicants in United States.
• Report to a senior member of the AI & Data Science team
• Create predictive models utilizing Azure tools, including Microsoft Fabric and Azure ML Studio
• Develop data preparation and analysis scripts using Python with libraries such as pandas and scikit-learn
• Engage in discussions regarding dataset design and statistical modeling
• Incorporate process control solutions with data science models
• Design and implement GenAI solutions and applications in production enterprise settings
• Collaborate on full-stack development for small applications and optimize UI/UX workflows
• Apply and disseminate best practices for the design and delivery of GenAI hybrid search
• Assess and enhance the accuracy of GenAI models for extracting chemical property information from literature
• Improve accuracy and relevance metrics for hybrid search and RAG models utilized in Operations and Safety procedures
• Investigate machine-learning techniques for predicting chemical properties
• Collect UX requirements and develop front-end/UI applications using React, Flask, or Streamlit
• Design multi-agent systems that break down complex user requests into manageable subtasks
• Tackle real-world business challenges across R&D, Finance, Manufacturing, Legal, and Environment/Safety sectors
• Enrollment at an accredited college or university, pursuing or having recently obtained a Bachelor’s, Master’s, PhD, or Post-Doctoral degree in Data Science, Computer Science, AI, Software Engineering, Computational Chemistry, or a closely related field
• Over 2 years of programming experience with Python, particularly with libraries such as pandas and scikit-learn
• At least 1 year of practical experience in data science, developing predictive ML models that include feature selection and engineering, model selection and hyperparameter tuning, data cleansing, and data analysis; typical use cases may involve time-series data and/or chemical properties
• OR 1 year of practical experience in developing GenAI applications involving RAG, hybrid search, and UI development
• Quick learner and effective collaborator, capable of working efficiently with high productivity
• Excellent communication skills, able to convey findings to a non-technical audience
• Must not be enrolled in coursework concurrently with the internship
• Must be available to work comfortably from 8am to 5pm East Coast Time
• Preferred minimum GPA of 3.0 or above
• Preferred experience in enterprise environments and deploying applications and GenAI agents in production using Azure, Google Cloud, or AWS
• Immigration sponsorship (including H-1B, F-1 OPT, TN, or other non-immigrant statuses) is not currently available
• Competitive Compensation
• Comprehensive Benefits Packages
• 401(k) Match
• Employee Stock Purchase Program
• Tuition Reimbursement
• Commuter Benefits
• Learning and Development Opportunities
• Strong Inclusion and Diversity Initiatives
• Company-paid Volunteer Day
Sigma Software Group
Sigma Software Group
BIP Brasil
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