Data Scientist - Python & ML

Qualifications

Strong Python programming with ML libraries (scikit-learn, pandas, NumPy, PyTorch/TensorFlow).

Solid knowledge of ML algorithms : Supervised (Regression, Random Forests, Gradient Boosted Trees); Unsupervised (K-means, DBSCAN, PCA, anomaly detection).

NLP : Transformers, text classification, fuzzy matching.

Proficiency in Deep Learning techniques.

Hands-on experience with MLOps practices (CI/CD for ML models, retraining, monitoring).

Ability to build end-to-end ML pipelines on cloud-native platforms (Azure ML preferred) . #J-18808-Ljbffr