Senior Advisor driving AI strategy for business transformation at iA Financial Group. Define and implement AI initiatives to enhance operational efficiency and business value.
About the role
- AI Native Intern contributing to engineering teams at DataRobot. Building AI workflows and collaborating on project deliverables.
Responsibilities
- Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management
- Use the DataRobot platform — including AutoML, GenAI tooling, and MLOps capabilities — to design, evaluate, and ship solutions
- Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria
- Work autonomously on defined project deliverables while staying aligned with your mentor and team
- Communicate progress through structured weekly updates and a final Intern Showcase presentation to DataRobot leadership
- Collaborate across engineering, product, and go-to-market teams to understand context and deliver work that sticks
- Document your work thoroughly so findings and solutions can be handed off and extended after the program
Requirements
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
- Working proficiency in Python (pandas, numpy) and comfort with data manipulation and scripting
- Foundational understanding of machine learning concepts — supervised learning, model evaluation, feature engineering
- Deep passion for autonomous agents — you have experience building systems that "do" rather than just "chat"
- Strong written and verbal communication skills; ability to explain technical work clearly to mixed audiences
- Ability to work independently, manage ambiguity, and escalate blockers appropriately
- Nice to Have:
- Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI, LlamaIndex)
- Familiarity with the DataRobot platform or other MLOps/AutoML tools
- Experience with API development (FastAPI, Flask) or containerization (Docker)
- Prior internship, research, or project experience applying ML to real-world problems
- Experience with or interest in DevSecOps concepts, CVE triage, or support engineering workflows.
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP) and more!
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