Senior Machine Learning Engineer

Description

Job Summary: A data professional to transform business problems into Machine Learning solutions, optimize outcomes, and collaborate across multiple teams. Key Highlights: 1. Development and validation of Machine Learning models 2. Strategic collaboration with business and product teams 3. Focus on result optimization and continuous improvement **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:** **Required 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 data preparation and preprocessing for analysis. Ability to translate technical analyses into business recommendations. Proactive mindset in identifying opportunities for improvement. Experience with model deployment and production monitoring. 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 related to risk, recommendation, churn, or segmentation. Experience in the financial sector or fintech. Knowledge of customer behavior analysis.