Senior Machine Learning Engineer

Description

Job Summary: A data professional who transforms business problems into Machine Learning solutions, focusing on result optimization and continuous improvement. Key Highlights: 1. Development and validation of Machine Learning models 2. Exploratory data analysis and feature engineering 3. Work on risk, recommendation, churn, or segmentation projects **Responsibilities and Duties:** Understand business problems and translate them into data-driven solutions. Propose analytical approaches and predictive models to optimize outcomes. Develop and validate Machine Learning models. Design experiments and validate hypotheses based on evidence. Prepare and analyze data for model development. Monitor the performance of implemented solutions and propose continuous improvements. Collaborate with business, product, and technology teams. **Requirements:** **Requirements and Qualifications:** Experience in developing and validating Machine Learning models. Practical experience with classification, regression, or segmentation techniques. Experience in exploratory data analysis and feature engineering. Knowledge of model evaluation metrics and statistical validation. Experience with model tuning and overfitting prevention. Ability to formulate hypotheses and evaluate results using metrics. Experience in preparing and processing data for analysis. Ability to translate technical analyses into business recommendations. Proactive mindset in identifying opportunities for improvement. Experience with deploying and monitoring models in production. Practical experience with training pipelines and model versioning. Experience with A/B testing or impact evaluation. To stand out in this role, it would be great if you also have: Experience in projects focused on risk, recommendation, churn, or segmentation. Experience in the financial sector or fintech. Knowledge of customer behavior analysis.