DSML.KZ Community Hub

Engineering and technology company in the oil and gas sector. Responsibilities: • Translate business needs into ML tasks and prepare data from multiple sources. • Develop classification, regression, clustering, ranking, forecasting, and anomaly-detection models. • Build reproducible data-processing and model-training pipelines. • Monitor model performance, data quality, and drift. Requirements: • Bachelor’s or Master’s degree in a relevant technical field • 3+ years of practical experience in machine learning, data science, or applied analytics • Strong Python and SQL skills • Experience with pandas • NumPy • scikit-learn • LightGBM • XGBoost • CatBoost • Matplotlib • Plotly Optional: • Forecasting • ranking • recommendation systems • anomaly detection • optimization • REST APIs • batch processing • cloud platforms • distributed data-processing tools