Jr AI/ML Engineer

Job Title: Junior AI/ML Engineer

Experience: 0-2 Years

Location: Hyderabad, India

Employment Type: Full-time

About NationsBenefits:

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.
• Good analytical and problem-solving skills.
• Strong communication and willingness to learn new technologies.
• Experience with Azure Cloud Stack is a plus