- Design and develop machine learning models and AI-driven solutions.

- Build and maintain scalable software development solutions for production environments.

- Conduct data analysis and derive insights using data science techniques.

- Take ownership of delivering new features and performance improvements on time and with high quality.

- Collaborate cross-functionally with data scientists, engineers, and product teams to drive innovation.

Must-Have Qualifications :

- Strong programming skills in Python with hands-on experience in ML and data science.

- Proven experience with Large Language Models (LLMs), transformers, and open-source models from HuggingFace.

- Professional experience in machine learning tasks including classification, clustering, anomaly detection, feature engineering, and neural networks.

- Strong knowledge of classic ML algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.).

- Proficiency in deep learning frameworks such as PyTorch and TensorFlow.

- Familiarity with data science frameworks like Scikit-learn, NumPy, Pandas, and Polars.

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

Preferred Skills :

- Experience with Docker and Kubernetes for model deployment and scaling.

- Exposure to MLOps pipelines and cloud-based environments (AWS, GCP, Azure).

- Strong understanding of data pipelines, APIs, and model optimization techniques.