- Develop, train, and optimize machine learning and deep learning models.

- Build, enhance, and maintain software development solutions to support ML workflows.

- Apply data science methods to derive actionable insights and support business decision-making.

- Work on classification, clustering, anomaly detection, feature engineering, and neural networkbased solutions.

- Own end-to-end delivery of features, ensuring timely implementation and continuous improvements.

- Work with large-scale projects involving LLMs, transformers, and open-source models (HuggingFace).

Must-Have Qualifications :

- Strong programming expertise and extensive hands-on experience in Python.

- Professional experience with Large Language Models (LLMs), transformers, and HuggingFace ecosystem.

- Solid experience in machine learning & data science (classification, clustering, anomaly detection, feature engineering, neural networks).

- Strong understanding of classical ML algorithms such as SVM, Random Forest, Naive Bayes, KNN, etc.

- Hands-on experience using deep learning frameworks such as PyTorch.

- Proficiency with major data science libraries : Sklearn, NumPy, Pandas, Polars, etc.

- Excellent analytical, debugging, and problem-solving skills.

- Strong verbal and written communication abilities to collaborate with technical and non-technical teams