Xemplar Insights

Description :Must Have Skills :- Machine learning techniques : regression, classification, clustering, deep learning.- Programming languages : Python, R.- Machine learning libraries : TensorFlow, scikit-learn, PyTorch.- Data wrangling, feature engineering.- Model validation and testing.- Cloud platforms, distributed computing, big data technologies.Nice to Have Skills :- Knowledge of P&C Insurance domain.- Experience working with US-based customers.- Experience in leading teams or projects.- Experience with high-performance computing.- GenAi Skills, Experience with LLMs.Job Responsibilities of this position :- Architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights.- Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value.- Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise-level production environments.- Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into Xemplars product ecosystem, optimizing performance and efficiency across multiple teams.- Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models.- Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes.- Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement.- Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact.Required Relevant Experience :- 5+ years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions.- Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning.- Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).- Extensive experience with data wrangling, feature engineering, and working with large, complex, high-volume datasets.- Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments.- Deep understanding of the P&C Insurance domain, with specific experience in areaslike claims prediction, risk modeling, pricing optimization, and customer segmentation.- Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels.- Significant hands-on experience working with both structured and unstructured data atscale, with expertise in cloud platforms, distributed computing, and big data technologies.- 5+ years of experience in predictive model development, data mining, statistical modeling, and high-performance computing in complex enterprise environments.Years of experience required : 3 to 5+ years.Location : Hyderabad.Mode of work : Work of Office (All 5 days a week Work from office). (ref:hirist.tech)