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INTERNSHIP - Customer Success: GenAI NLP

United States, RI, Johnston

인턴

3/26/2025

543271

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Role and Responsibilities

The Customer Success organization at Dassault Systèmes is dedicated to empowering our customers' success through unparalleled support and knowledge. In this 6-month paid internship opportunity, based at the Dassault Systèmes Office in Johnston, RI, you'll channel your passion and AI expertise towards shaping an advanced RAG system, elevating the support experience to new heights.

In this role, you'll collaborate closely with our dynamic Data Science Teams within the Customer Success organization, spearheading the development of next-generation AI applications across a diverse array of data streams.

As an NLP AI Intern, you'll dive headfirst into the realm of Natural Language Processing, assuming a pivotal role in designing, developing, and deploying advanced RAG systems, classification models, and data manipulation techniques. Your contributions will extend to the development and maintenance of data pipelines, bolstering various data science initiatives. By ensuring the efficiency and reliability of data processes and fostering collaboration across cross-functional teams, you'll make a tangible impact.

This hands-on experience will not only refine your technical prowess in NLP and data engineering technologies but also provide a unique opportunity to contribute meaningfully to real-world projects, laying the groundwork for a successful career in data engineering.

Qualifications

· Currently pursuing a Master's degree/PhD in Computer Engineering, Computer Science, Data Science, AI, or a related field.

· Proficiency in software development in Python, with a strong grasp of open-source libraries.

· Proficiency in data mining techniques and ETLs using Python

· Proficiency in developing and deploying AI Agents using Langgraph

· Proficiency in Full stack development

· Experience with various open-source databases, including vector and graph databases like Chroma DB, OpenSearch, Neo4j, etc.

· Familiarity with AI app development frameworks such as Lang chain or Llama Index.

· Knowledge of prompting and using open-source LLMs like Llama and Mistral.

· Proficiency in building and querying knowledge graphs using open-source tools and libraries (e.g., Neo4j, Stardog).

· Understanding of AI agent architectures and frameworks for building agents with function calling capabilities.

· Strong time management and problem-solving skills.

· Ability to multitask in a fast-paced environment and prioritize activities effectively to achieve results.

· Motivated, hands-on developer with a passion for learning and expanding their skills.

· Demonstrated ability to approach new modules holistically, with a focus on the broader technical landscape.

This is a paid internship spanning 6 months with flexible start date in 2025. This position is based at the Dassault Systèmes Office at 1301 Atwood Ave in Johnston, RI.

Compensation for this role will be commensurate with experience. The total expected compensation range will be between $33 and $40 per hour.

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Inclusion statement

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.

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