Machine Learning Engineer

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 Tensor Flow, 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 Sage Maker

• Familiarity with Docker and Kubeflow

PREFERRED QUALIFICATIONS

• Experience in Fin Tech 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 Fin Tech

• Opportunity to build impactful real-world financial products

• Collaborative and innovation-driven work environment

• Exposure to modern cloud and MLOps technologies

APPLY NOW