AI Specialist

Key Responsibilities:

- Design and implement Machine Learning pipelines for classification, regression, and clustering.

- Perform data preprocessing, feature engineering, and analysis of datasets.

- Optimize model performance.

- Document the workflows, processes, and technical decisions.

Requirements:

- Experience in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.

- Understanding of supervised and unsupervised learning methods.

- Proficient in data manipulation tools (Pandas and NumPy).

- Knowledge of model evaluation metrics and validation techniques.

- Experience in time-series, transactional, text and image data.

- Strong problem-solving skills and the ability to work independently.

Preferred Skills:

- Understanding of ethical AI practices and data privacy regulations.

- Familiarity with Git and collaborative development.

- Strong communication skills to collaborate with cross-functional teams.

Mandatory Skills:

Python, scikit-learn, pandas, Git.