4 Rule Engines Jobs

About the Role We are seeking a proactive and detail-oriented Business Analyst to support our Loan Against Property (LAP) business. The ideal candidate will have prior experience working with a Loan Origination System (LOS) provider, with deep understanding of how LOS platforms are designed, configured, and optimized. You will work closely with internal stakeholders to define requirements, configure workflows, and ensure our lending journeys are smooth, compliant, and efficient. Key Responsibilities Loan Origination Platform Ownership Manage platform-level configurations for LAP journeys lead flows, form logic, data capture, rule setups, document workflows, and user roles. Collaborate with product, tech, and business teams to design origination workflows that balance credit policy, compliance, and user experience. Ensure clean and scalable implementation of underwriting rules and loan processing logic. Business Analysis & Documentation Gather detailed requirements from credit, sales, operations, and risk teams. Translate requirements into structured documents BRDs, user stories, process flows, SOPs for platform implementation. Maintain up-to-date documentation for all workflows and platform configurations. Testing & Rollout Support Lead UAT cycles for new workflows or rule changes, identify issues, and work with tech to close gaps. Ensure readiness of the origination platform before releases including regression testing and sanity checks. Provide post-launch support and training to internal users. Stakeholder Coordination Serve as a key bridge between internal teams and platform/tech teams. Proactively suggest platform optimizations based on business pain points or user feedback. Track platform issues and enhancement requests to closure. What Were Looking For 24 years of experience working with or at a Loan Origination System (LOS) provider. Strong understanding of LOS platform capabilities form engines, workflow builders, rule engines, integrations, and user management. Experience configuring lending journeys, especially for secured loans like LAP or Home Loans. Proficiency in writing clear and comprehensive documentation (BRDs, FRDs, SOPs). Ability to understand technical workflows, troubleshoot platform behavior, and coordinate with engineering/product teams. Good to Have Exposure to secured lending policies (LAP, HL, LRD) and their operational flows. Familiarity with APIs, basic data structures, or third-party integrations (e.g., bureaus, KYC, legal). Strong communication and stakeholder engagement skills Show more Show less

The primary responsibility involves identifying, building, and managing rule engines and policies across partner lenders to optimize business loan and other SME loan applications. You will be leading the development of logic, lender policy negotiations, and routing logics using segmentation approaches. Your role will also include creating Business Requirement Documents (BRD), managing vendors at different stages, and digitizing this initiative in a cost-effective manner through iterative processes. In addition, you will be responsible for planning and executing roll-out strategies, managing expectations, and providing training to stakeholders to enhance the funnel and pipeline for various lending solutions to MSMEs. It will be essential to nurture strong partner relationships and ensure alignment of features and policies with them. Developing and implementing acquisition strategies to generate demand in alignment with lender requirements will also be a key aspect of this role. Furthermore, you will be required to monitor portfolio quality regularly, conduct risk and analytics assessments, and implement proactive corrective measures when necessary. This role demands a proactive approach to managing and optimizing lending operations to drive business growth while maintaining portfolio quality and risk management standards.,

Join a team recognized for leadership, innovation, and diversity. We are looking for a highly skilled Senior Developer with over 8 years of experience in Siemens Rulestream and expertise in integrating with CAD systems such as Siemens NX, AutoCAD, Capital Electra X, and Line Designer. As a Senior Developer, you will be responsible for designing, developing, and implementing Rulestream solutions that seamlessly integrate with various CAD platforms to enhance engineering processes and product configurations. Your key responsibilities will include designing and implementing custom solutions within the Siemens Rulestream environment to meet specific business requirements. You will also integrate Rulestream with CAD systems like Siemens NX, AutoCAD, Capital Electra X, and Line Designer to ensure seamless data flow and process efficiency. Utilizing Rulestream, you will automate the generation of CAD models, drawings, and related documentation, and implement rules and logic to drive automated design processes and ensure consistency across engineering outputs. Collaborating closely with cross-functional teams, including engineering, manufacturing, and IT, you will gather requirements and deliver effective Rulestream solutions. Additionally, you will provide technical support and guidance to end-users, troubleshoot issues, and ensure system reliability. Staying updated with the latest developments in Siemens Rulestream and associated CAD systems, you will recommend and implement improvements. Participation in code reviews, testing, and quality assurance processes will be essential to maintaining high standards of software development. The ideal candidate should have a minimum of 6 years of hands-on experience with Siemens Rulestream or Tacton, including development and customization. Experience in developing rule engines, engineering configurators, system configuration automation tools, or extensive customization and integration experience with engineering configurators and CAD authoring/visualization tools such as AutoCAD, SolidWorks, and PLM platforms like Siemens Teamcenter is required. Knowledge of Rulestream, Configit, Configura, Tacton, and Big Machines/OracleCPQ will be beneficial. This position is located in Devarabisanahalli Village, KR Varturhobli, East Taluk - Phase I, Bangalore, KARNATAKA, 560103, India. The job is exempt and falls under the Engineering category. JOB ID: req485170,

We are looking for a highly skilled AI/ML Engineer with expertise in developing machine learning solutions, utilizing graph databases like Neo4j, and constructing scalable production systems. As our ideal candidate, you should have a strong passion for applying artificial intelligence, machine learning, and data science techniques to solve real-world problems. You should also possess experience in dealing with complex rules, logic, and reasoning systems. Your responsibilities will include designing, developing, and deploying machine learning models and algorithms for production environments, ensuring their scalability and robustness. You will be expected to utilize graph databases, particularly Neo4j, to model, query, and analyze data relationships in large-scale connected data systems. Building and optimizing ML pipelines to ensure they are production-ready and capable of handling real-time data volumes will be a crucial aspect of your role. In addition, you will develop rule-based systems and collaborate with data scientists, software engineers, and product teams to integrate ML solutions into existing products and platforms. Implementing algorithms for entity resolution, recommendation engines, fraud detection, or other graph-related tasks using graph-based ML techniques will also be part of your responsibilities. You will work with large datasets, perform exploratory data analysis, feature engineering, and model evaluation. Post-deployment, you will monitor, test, and iterate on ML models to ensure continuous improvement in model performance and adaptability. Furthermore, you will participate in architectural decisions to ensure the efficient use of graph databases and ML models, while staying up-to-date with the latest advancements in AI/ML research, particularly in graph-based machine learning, reasoning systems, and logical AI. Requirements: - Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - 1+ years of experience in AI/ML engineering or a related field, with hands-on experience in building and deploying ML models in production environments and self-made projects using graph databases. - Proficiency in Neo4j or other graph databases, with a deep understanding of Cypher query language and graph theory concepts. - Strong programming skills in Python, Java, or Scala, along with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with machine learning pipelines and tools like Airflow, Kubeflow, or MLflow for model tracking and deployment. - Hands-on experience with rule engines or logic programming systems (e.g., Drools, Prolog). - Experience with cloud platforms such as AWS, GCP, or Azure for ML deployments. - Familiarity with containerization and orchestration technologies like Docker and Kubernetes. - Experience working with large datasets, SQL/NoSQL databases, and handling data preprocessing at scale.,