At NationsBenefits we are leading the transformation of the insurance industry by developing innovative benefits management solutions. We focus on modernizing complex back-office systems to create scalable secure and high-performing platforms that streamline operations for our clients. As part of our strategic growth we are focused on platform modernization transitioning legacy systems to modern cloud-native architectures that support the scalability reliability and high performance of core backoffice functions in the insurance domain. Role Summary:
We are looking for a motivated Junior AI/ML Engineer with 0-2 years of experience and a strong foundational understanding of Artificial Intelligence Machine Learning and data-driven applications. The ideal candidate should be eager to learn build test and support AI/ML solutions in collaborative environments.
Key Responsibilities:
Assist in developing testing and validating AI/ML models and applications.
Support data preprocessing feature engineering and model evaluation activities.
Perform basic testing of ML models for accuracy performance and reliability.
Work with APIs datasets and automation scripts for AI/ML workflows.
Collaborate with senior engineers on deployment monitoring and MLOps practices.
Participate in debugging documentation and continuous improvement activities.
Required Skills & Qualifications:
Basic understanding of Machine Learning concepts model evaluation and AI applications.
Hands-on exposure to Python SQL and ML libraries such as Scikit-learn or TensorFlow.
Awareness of MLOps concepts including deployment monitoring CI/CD and testing workflows.
Understanding of model testing metrics such as accuracy precision recall or F1-score is preferred.
Valuable analytical and problem-solving skills.
Strong communication and willingness to learn new technologies.
Experience with Azure Cloud Stack is a plus
Required Experience:
Junior IC
📌 Jr AIML Engineer (Hyderabad)
🏢 NationsBenefits
📍 Hyderabad
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