Python Engineer

Design, build, and maintain machine learning models using Python, applying techniques such as regression, classification, clustering, and ensemble methods.
Develop and deploy scalable AI/ML solutions using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Perform data preprocessing, feature engineering, and model evaluation to ensure high‑quality and reliable ML outcomes.
Build and consume RESTful APIs using frameworks such as Flask or FastAPI, and integrate models into production systems.
Qualifications

5–8 years of experience as an AI/ML or Python Engineer with strong proficiency in Python and ML libraries including NumPy, Pandas, and Scikit‑learn.
Hands‑on experience implementing machine learning algorithms and deep learning frameworks in real‑world applications.
Solid knowledge of data engineering fundamentals, including data preprocessing, feature engineering, and model performance evaluation.
Experience with SQL or NoSQL databases, Git‑based version control, and collaborative software development practices.