Data Scientists and / or Machine Learning Engineers Experience - 4 to 7 Yrs Budget - 25 to 35 LPA Location - Airoli Role: These professionals will design, develop, and optimize the machine learning models for fraud detection. Skills: Data Preprocessing: Experience in cleaning, normalizing, and transforming data for modeling. Feature Engineering: Knowledge of creating meaningful features from raw data based on the fraud scenarios. Model Development: Expertise in supervised and unsupervised learning algorithms (e.g., decision trees, random forests, neural networks, anomaly detection). Evaluation Metrics: Ability to evaluate the model using appropriate metrics (e.g., precision, F1-score, etc.) because fraud detection often involves dealing with imbalanced data. Tools/Technologies: Python, R, TensorFlow, Scikit-learn, XGBoost, LightGBM, or custom algorithms based on your requirements.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Data Science Specialist Job In Cma Cgm Global
Contact Details:
Company: Cma Cgm GlobalLocation(s): Other Maharashtra