- Company Name
- Intellect Group
- Job Title
- Graduate AI Engineer
- Job Description
-
**Job Title**
Graduate AI Engineer
**Role Summary**
Junior AI Engineer focused on designing, training, and deploying machine learning and deep learning models for financial analytics, risk scoring, and portfolio insights in a fintech environment.
**Expectations**
- Recent AI‑focused Master’s graduate with applied ML experience.
- Deliver end‑to‑end AI pipelines, evaluation, and monitoring.
- Translate complex fintech workflows into AI problem statements and metrics.
- Collaborate across engineering, data science, product, and domain teams.
**Key Responsibilities**
- Design, train, and deploy ML/DL models for credit/risk scoring and portfolio analytics.
- Build large‑language‑model (LLM) tools for data extraction, document understanding, and reporting.
- Implement full AI pipelines: ingestion, cleaning, feature engineering, experimentation, training, evaluation, and deployment.
- Develop robust evaluation frameworks, regression tests, performance tracking, and data/model drift detection.
- Engineer representations for structured and unstructured financial data (tabular, time‑series, PDFs, text).
- Collaborate with product and domain experts to scope AI problems and define success metrics.
- Contribute to R&D on LLM evaluation, retrieval‑augmented generation, and reliability/explainability in finance.
**Required Skills**
- Programming: Python, deep‑learning libraries (PyTorch, TensorFlow), scikit‑learn, pandas, NumPy.
- ML workflow: data preprocessing, feature engineering, model training, validation, error analysis.
- LLM tooling: API usage, prompt design, basic RAG/ retrieval pipelines.
- Development: Linux environment, Git, unit testing, basic CI practices.
- Analytical mindset: systematic problem decomposition, long‑term trade‑off assessment.
- Communication: clear technical explanation for technical and non‑technical stakeholders.
- Remote‑working discipline and ownership in a fast‑paced startup setting.
**Required Education & Certifications**
- MSc (or equivalent) in Artificial Intelligence, Machine Learning, Data Science with AI/ML track, or a closely related program from a leading university.
- Demonstrated applied projects or internships involving ML/DL on real datasets.