Machine Learning Engineer - Fresher

As a Machine Learning Engineer at Prorsum Technologies in Hyderabad, you will play a crucial role in developing, deploying, and maintaining machine learning models for fintech applications. Your primary responsibilities will include designing, developing, and deploying machine learning models for credit scoring, fraud detection, anomaly detection, and time-series forecasting. You will work with large and complex datasets to extract insights and collaborate with data engineers and business teams for scalable ML solutions. Monitoring model performance, ensuring continuous improvement, and implementing MLOps practices for deployment and lifecycle management will also be part of your role. Key Responsibilities: - Design, develop, and deploy machine learning models for fintech use cases - Build models for credit risk assessment, fraud detection, and default prediction - Develop time-series forecasting solutions using advanced ML techniques - Work with large and complex datasets to extract insights - Collaborate with data engineers and business teams for scalable ML solutions - Monitor model performance and ensure continuous improvement - Implement MLOps practices for deployment and lifecycle management Qualifications Required: - Strong proficiency in Python - Hands-on experience with TensorFlow, PyTorch, and scikit-learn - Experience with LSTM/RNN models for time-series forecasting - Knowledge of credit scoring, fraud detection, and anomaly detection - Experience handling imbalanced datasets and model optimization - Strong expertise in SQL/PostgreSQL - Experience with AWS SageMaker - Familiarity with Docker and Kubeflow In addition to the above, you should have experience in the FinTech or Banking domain, an understanding of model monitoring, explainability, and governance, and knowledge of cloud-based ML deployment and automation. The role requires 5 days of onsite working, with preference given to Hyderabad locals. You should be ready for a face-to-face interview. Joining Prorsum Technologies will give you the opportunity to work on cutting-edge AI and ML solutions in FinTech, build impactful real-world financial products, and be part of a collaborative and innovation-driven work environment. You will also gain exposure to modern cloud and MLOps technologies. If you meet the qualifications and are excited about this opportunity, you can apply by sending your resume to bhuvana@prorsum-tech.com. As a Machine Learning Engineer at Prorsum Technologies in Hyderabad, you will play a crucial role in developing, deploying, and maintaining machine learning models for fintech applications. Your primary responsibilities will include designing, developing, and deploying machine learning models for credit scoring, fraud detection, anomaly detection, and time-series forecasting. You will work with large and complex datasets to extract insights and collaborate with data engineers and business teams for scalable ML solutions. Monitoring model performance, ensuring continuous improvement, and implementing MLOps practices for deployment and lifecycle management will also be part of your role. Key Responsibilities: - Design, develop, and deploy machine learning models for fintech use cases - Build models for credit risk assessment, fraud detection, and default prediction - Develop time-series forecasting solutions using advanced ML techniques - Work with large and complex datasets to extract insights - Collaborate with data engineers and business teams for scalable ML solutions - Monitor model performance and ensure continuous improvement - Implement MLOps practices for deployment and lifecycle management Qualifications Required: - Strong proficiency in Python - Hands-on experience with TensorFlow, PyTorch, and scikit-learn - Experience with LSTM/RNN models for time-series forecasting - Knowledge of credit scoring, fraud detection, and anomaly detection - Experience handling imbalanced datasets and model optimization - Strong expertise in SQL/PostgreSQL - Experience with AWS SageMaker - Familiarity with Docker and Kubeflow In addition to the above, you should have experience in the FinTech or Banking domain, an understanding of model monitoring, explainability, and governance, and knowledge of cloud-based ML deployment and automation. The role requires 5 days of onsite working, with preference given to Hyderabad locals. You should be ready for a face-to-face interview. Joining Prorsum Technologies will give you the opportunity to work on cutting-edge AI and ML solutions in FinTech, build impactful real-world financial products, and be part of a collaborative and innovation-driven work environment. You will also gain exposure to modern cloud and MLOps technologies. If you meet the qualifications and are excited about this opportunity, you can apply by sending your resume to bhuvana@prorsum-tech.com.