Enterprise AI Engineering Intern — Hands-on ML & GenAI

Constellis; Virginia; Sur place; USD 34 000 - 48 000; Plein temps

Résumé du poste

Constellis is seeking an AI Engineering Intern to support Enterprise AI Transformation by assisting with design, development, evaluation, and deployment of machine learning, generative AI, and data science solutions in enterprise settings.

The role provides hands-on exposure to enterprise data, AI workflow automation, model evaluation, retrieval‑augmented generation, analytics, and secure AI applications for business, compliance, and operations.

Qualifications

• Pursuing graduate/undergraduate degree in a technical field, with coursework in ML/NLP/analytics.
• Experience with ML, DL, NLP, data mining, or analytics projects.
• Experience with Python and data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, LangChain, or similar tools.
• Familiarity with SQL, data pipelines, APIs, cloud services, version control, notebooks, model evaluation, and responsible AI concepts.
• Strong analytical, problem‑solving, communication, and documentation skills with the ability to explain technical findings to both technical and non‑technical stakeholders.
• Experience with Azure, Microsoft 365 Copilot, Copilot Studio, Power Platform, SharePoint, GitHub, DevOps practices, retrieval‑augmented generation, vector databases, model monitoring, or MLOps is a plus.
• Must be able to protect sensitive company information and follow all applicable information security, data handling, privacy, and acceptable‑use requirements.
• Ability to work in an office environment, use a computer for extended periods, communicate effectively in meetings, and perform standard internship duties.

Responsabilités

• Develop ML models, data workflows, and AI prototypes for enterprise use cases across business functions.
• Support data preparation, feature engineering, training, testing, validation, and monitoring activities.
• Contribute to generative AI, retrieval‑augmented generation, and agentic workflow experiments using approved enterprise platforms, data sources, and development practices.
• Evaluate model quality, grounded‑answer accuracy, task success, hallucination risk, bias, explainability, and operational reliability.
• Develop reusable scripts, notebooks, documentation, dashboards, and technical summaries to communicate findings, assumptions, results, and recommendations.
• Collaborate with IT, AI Enterprise Transformation, business stakeholders, data stewards, and application teams to translate business problems into practical AI and analytics solutions.
• Work is typically based in a busy office environment and subject to frequent interruptions. Business work hours are Monday‑Friday standard core hours; however, some extended hours may be required based on project needs.
• Other duties as assigned.

Connaissances

Analytical skills

Communication skills

Problem solving

Documentation skills

Formation

CS/DS/AI/Math degree

Outils

Python

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

LangChain

SQL

APIs

Cloud services

Version control

Description du poste

Constellis is seeking an AI Engineering Intern to support Enterprise AI Transformation by assisting with design, development, evaluation, and deployment of machine learning, generative AI, and data science solutions in enterprise settings.

The role provides hands-on exposure to enterprise data, AI workflow automation, model evaluation, retrieval‑augmented generation, analytics, and secure AI applications for business, compliance, and operations.