Overview
We are looking for an AI Researcher to develop practical AI and machine learning solutions for real-world analytical problems. The role focuses on statistical modelling, predictive analytics, LLM-powered AI agents, and intelligent systems across structured and unstructured data.
Responsibilities
- Develop and evaluate predictive models including regression, classification, and forecasting models.
- Conduct EDA, statistical experimentation, hypothesis testing, and model validation on large datasets.
- Build and experiment with LLM systems involving RAG, AI agents, fine-tuning, LoRA, and vector databases.
- Develop scalable Python-based AI/ML pipelines and reproducible workflows.
- Work with structured and unstructured datasets including text, image, audio, or multimodal data.
Technical Skills
- Hands-on experience in machine learning, predictive analytics, and statistical modelling.
- Experience mining and analysing datasets with at least 1 million records.
- Strong understanding of model evaluation, experimentation, and failure analysis.
- Familiar with LoRA fine-tuning technique within an LLM workflow.
- Strong Python skills with Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and SQL.
- Experience building reproducible AI/ML pipelines and workflows.
- Good understanding of supervised, unsupervised, and generative AI models.
