Machine Learning Engineer
Job Description
WE ARE HIRING
MACHINE LEARNING ENGINEER
Location: Hyderabad (Prorsum Technologies – Work Location)
Experience: 2–4 Years
Employment Type: Full-Time
ABOUT THE ROLE
We are looking for a Machine Learning Engineer to develop, deploy, and maintain machine learning models for fintech applications. The role involves building predictive models for credit scoring, fraud detection, anomaly detection, and time-series forecasting.
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
REQUIRED SKILLS
• 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
PREFERRED QUALIFICATIONS
• Experience in FinTech or Banking domain
• Understanding of model monitoring, explainability, and governance
• Knowledge of cloud-based ML deployment and automation
ADDITIONAL REQUIREMENTS
• 5 days onsite working
• Hyderabad locals preferred
• Ready for face-to-face interview
WHY JOIN US
• Work on cutting-edge AI and ML solutions in FinTech
• Opportunity to build impactful real-world financial products
• Collaborative and innovation-driven work environment
• Exposure to modern cloud and MLOps technologies
APPLY NOW
