Machine Learning Engineer

WE ARE HIRING

MACHINE LEARNING ENGINEER

Location: Hyderabad (Prorsum Technologies Work Location)

Experience: 24 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

bhuvana@prorsum-tech.com