- Company Name
- Mobsuccess Group
- Job Title
- Stage - Ingénieur IA - F/H
- Job Description
-
Job title: AI Engineer Internship (F/M)
Role Summary:
Intern within an internal AI Lab responsible for designing, prototyping, and deploying AI tools that support creative, media, data, and sales teams. The role bridges full‑stack development, model integration, and cloud deployment to accelerate AI adoption throughout the organization.
Expectations:
- Current enrollment in an engineering or computer‑science program (e.g., Polytechnique, Centrale, Mines, INSA, UTC, EPITECH, EPITA or equivalent).
- Strong foundation in full‑stack development and/or AI model integration.
- Curiosity about generative AI and its practical applications.
- Ability to prototype rapidly, work independently, and collaborate with internal stakeholders.
- Proficient in technical English (reading and writing).
Key Responsibilities:
- Conceive and develop AI solutions for automation, content generation, analysis, and scoring tailored to internal team needs.
- Integrate state‑of‑the‑art models (OpenAI, Claude, Gemini, Replicate, etc.) into production pipelines.
- Manage the end‑to‑end AI lifecycle: data ingestion → model training/inference → front‑end integration → deployment on AWS (Lambda, S3, EC2).
- Test, iterate, and improve tools based on user feedback.
- Document architecture, code, and operational procedures.
- Coordinate with product, dev‑ops, and data teams to ensure seamless delivery and maintainability.
Required Skills:
- AI & Machine Learning fundamentals (model selection, evaluation, fine‑tuning).
- Full‑stack development (Python, Node.js, React or equivalent).
- Cloud & DevOps proficiency (AWS services, CI/CD, version control).
- Experience with AI model integration APIs and frameworks.
- Strong analytical and problem‑solving abilities.
- Excellent written and verbal communication in English.
Required Education & Certifications:
- Enrolled in a recognized engineering or computer‑science degree program (bachelor’s or equivalent).
- No specific certification required, but knowledge in AI, machine learning, or related fields is preferred.