Job Description
<p><p><b>Description :</b><br/><br/>Must Have Skills :</p><p><br/>- Machine learning techniques : regression, classification, clustering, deep learning.<br/><br/></p><p>- Programming languages : Python, R.<br/><br/></p><p>- Machine learning libraries : TensorFlow, scikit-learn, PyTorch.<br/><br/></p><p>- Data wrangling, feature engineering.<br/><br/></p><p>- Model validation and testing.<br/><br/></p><p>- Cloud platforms, distributed computing, big data technologies.<br/><br/>Nice to Have Skills :</p><p><br/>- Knowledge of P&C Insurance domain.<br/><br/></p><p>- Experience working with US-based customers.<br/><br/></p><p>- Experience in leading teams or projects.<br/><br/></p><p>- Experience with high-performance computing.<br/><br/></p><p>- GenAi Skills, Experience with LLMs.<br/><br/><b>Job Responsibilities of this position :</b></p><p><br/>- 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.<br/><br/></p><p>- 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.<br/><br/></p><p>- 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.<br/><br/></p><p>- 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.<br/><br/></p><p>- 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.<br/><br/></p><p>- Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes.<br/><br/></p><p>- 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.<br/><br/></p><p>- 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.<br/><br/><b>Required Relevant Experience :</b></p><p><br/>- 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.<br/><br/></p><p>- Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning.<br/><br/></p><p>- Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).<br/><br/></p><p>- Extensive experience with data wrangling, feature engineering, and working with large, complex, high-volume datasets.<br/><br/></p><p>- Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments.<br/><br/></p><p>- Deep understanding of the P&C Insurance domain, with specific experience in areaslike claims prediction, risk modeling, pricing optimization, and customer segmentation.<br/><br/></p><p>- Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels.<br/><br/></p><p>- Significant hands-on experience working with both structured and unstructured data atscale, with expertise in cloud platforms, distributed computing, and big data technologies.<br/><br/></p><p>- 5+ years of experience in predictive model development, data mining, statistical modeling, and high-performance computing in complex enterprise environments.<br/><br/><b>Years of experience required :</b> 3 to 5+ years.<br/><br/><b>Location :</b> Hyderabad.<br/><br/><b>Mode of work :</b> Work of Office (All 5 days a week Work from office).<br/><br/></p><br/></p> (ref:hirist.tech)