Stay at the forefront of AI research to continually bring the latest innovations into our development pipeline. Your role will focus on experimenting with AI Agents and agentic AI, exploring how these technologies can enhance insurance workflows. Rapidly prototype and validate your ideas, demonstrating feasibility and potential impact. Work with large, complex datasets to develop models that solve real business challenges. While the core of your role is research-oriented, collaboration with production teams is essential. You will provide them with tested, validated concepts and support the initial stages of production integration. Partner with software developers, product managers, and other data scientists to ensure AI solutions are aligned with business needs Leverage state-of-the-art AI tools, frameworks, and libraries to accelerate AI development. Document AI research outcomes, development processes, and performance metrics. Present findings to stakeholders in an easily understandable manner. Education: Bachelors or masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A PhD in AI or a related discipline is highly desirable. Experience: Proven experience in AI research and implementation, with a deep understanding of both theoretical and practical aspects of AI. Strong proficiency in machine learning (ML), data science, and deep learning techniques. Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc Experience with data preprocessing, feature engineering, and data visualization. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI and ML deployment. Strong analytical and problem-solving skills. Ability to translate AI research into practical applications and solutions. Knowledge of AI model evaluation techniques and performance optimization. Strong communication skills for presenting research and technical details to non- technical stakeholders. Ability to work independently and in team environments. Preferred Qualifications Experience working with natural language processing (NLP), computer vision, or reinforcement learning.

Algorithm Development: Design and implement advanced machine learning algorithms tailored for our datasets. Model Creation: Build, train, and refine machine learning models for business integration. Collaboration: Partner with product managers, developers, and data scientists to align machine learning solutions with business goals. Industry Innovation: Stay updated with Insurtech trends and ensure our solutions remain at the forefront. Validation: Test algorithms for accuracy and efficiency, collaborating with the QA team. Documentation: Maintain clear records of algorithms and models for team reference. Professional Growth: Engage in continuous learning and mentor junior team members. Proven experience as a Machine Learning Engineer, Data Scientist, or similar role Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar. Experience working with natural language processing (NLP) or computer vision is highly desirable. Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance. Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale. Familiarity with data architecture, data engineering, and data pipeline tools. Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes. Knowledge of the insurance sector is beneficial but not required. Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, or a related field.

What Were Looking For Advanced English skills, both written and spoken, to effectively communicate in an international setting, including clear and professional two-way communication with colleagues and stakeholders. A Bachelors degree or equivalent. Fresh graduates and candidates from diverse backgrounds are welcome. Experience working in an International BPO/KPO is a plus. Strong computer skills, including proficiency in Windows operating systems, Microsoft Office Suite, and Google Drive applications. Effective teamwork skills and the ability to work independently when needed. Analytical and problem-solving abilities with a meticulous approach to tasks. Monitoring skills and keen attention to detail. Willingness to acquire new skills and learn modern technologies. Ability to multitask and prioritize workload. Adaptability to evolving procedures. Willingness to work in the second shift, Monday to Friday, 6 PM 2 AM IST. What Youll Be Doing Provide administrative support to insurance underwriters in the U.S., U.K., and Canada. Follow established procedures to ensure accuracy and compliance in all tasks. Meet daily performance targets and maintain efficiency in processing work. Accurately gather, process, and manage information to support business operations. Review, analyze, and handle insurance-related data with precision. Enter data and issue insurance documentation in a timely manner. Assist in training new team members and share best practices. Communicate with insurance underwriters through emails or calls as needed.