Good understanding of Designing and Architecting Sitecore solutions with headless architectureGood exp in designing and developing Sitecore small/medium web solution in agile methodology.Hand on exp Experience in third party integration with Sitecore/.Net application.Extensive working experience on .net web application solution design/developmentExtensive working/development experience on web services and restful serviceWorked on different Integration like social networking channels, Dynamics CRM & other LOB integrations along with Identity Provider and so on.

Position Summary: The AI Governance & Compliance Specialist is responsible for establishing and maintaining AI policies, ensuring ethical AI use, regulatory compliance, and risk management. This role requires a strong understanding of AI ethics, data privacy, and regulatory frameworks. The AI Governance & Compliance Specialist will collaborate with legal, compliance, and risk management teams to ensure responsible AI development and deployment.Key Responsibilities:· Develop and implement AI policies and guidelines.· Ensure compliance with relevant regulations and standards related to AI.· Conduct risk assessments and develop mitigation strategies for AI applications.· Promote ethical AI practices within the organization.· Develop and deliver training programs on AI ethics and compliance.· Monitor and audit AI systems to ensure compliance with policies and regulations.· Collaborate with legal and compliance teams to address AI-related legal and regulatory issues.· Document and maintain records of AI governance and compliance activities.

We are looking for an experienced MLOps Engineer with a strong background in the banking domain to join our team. This role involves working with data scientists, software engineers, and business analysts to deploy, monitor, and scale machine learning models in production, with a focus on highly regulated banking environments.Develop and implement automated pipelines for deploying machine learning models into production.Work on containerization and orchestration of models using Docker, Kubernetes, and other relevant tools.Ensure continuous integration and continuous deployment (CI/CD) of machine learning models.Collaborate with data scientists to take models from development into production, optimizing for real-time performance.Set up monitoring and logging systems to track model performance and ensure proper functionality in production.Continuously evaluate model performance and retrain models when necessary based on financial trends and business needs.Manage cloud infrastructure (AWS, GCP, Azure) to deploy, monitor, and scale ML models.Ensure the security, performance, and compliance of deployed ML models in alignment with banking regulations.Implement data privacy measures and ensure secure handling of sensitive customer data during the ML model lifecycle.Optimize machine learning algorithms for high-volume, low-latency financial transactions.Maintain documentation of MLOps processes, workflows, and model performance.Create detailed reports and dashboards to track model accuracy and performance metrics.

Position Summary: The AI Architect is a visionary technical leader responsible for designing and implementing the organization's AI infrastructure. This role demands deep expertise in AI systems architecture, cloud computing, data engineering, and security. The AI Architect will ensure that AI solutions are scalable, secure, and seamlessly integrated with existing platforms, enabling the organization to leverage AI for strategic advantage.Key Responsibilities:· Design and develop robust, scalable, and secure AI infrastructure architectures.· Evaluate and select appropriate AI platforms, tools, and technologies.· Ensure seamless integration of AI solutions with existing enterprise systems and data sources.· Develop and maintain architectural standards, best practices, and guidelines for AI development.· Lead the design and implementation of data pipelines and data storage solutions for AI applications.· Collaborate with AI Engineers, Data Scientists, and MLOps Engineers to ensure alignment of architectural designs with project requirements.· Conduct performance analysis and optimization of AI systems.· Stay abreast of emerging AI technologies and trends and provide recommendations for their adoption.· Address security concerns and build privacy focused systems.

We are seeking an experienced AI Product Manager with a solid background in the banking domain to lead and manage AI-driven products and solutions. This individual will be responsible for the end-to-end lifecycle of AI products, ensuring they align with the bank’s strategic objectives, drive business value, and meet customer needs. The ideal candidate will have expertise in AI technologies, product management, and a strong understanding of the banking sector's regulatory landscape.Key Responsibilities:Lead the ideation, development, and launch of AI-based products and solutions within the banking domain.Collaborate closely with cross-functional teams, including AI engineers, data scientists, UX/UI designers, marketing, and business stakeholders, to define product vision, roadmap, and go-to-market strategies.Define and prioritize product requirements, ensuring alignment with both customer needs and business goals in the banking sector.Develop a deep understanding of customer pain points, market trends, and competitive landscape to shape the product strategy and drive innovation in AI-based solutions.Ensure that AI products are developed in compliance with relevant banking regulations, data privacy laws, and ethical standards.Oversee the end-to-end product lifecycle, from conception to launch and post-launch, including product performance analysis and continuous improvement.Monitor AI product performance, collect user feedback, and drive improvements based on data-driven insights and business priorities.Act as the main point of contact for AI product initiatives within the bank, ensuring alignment and clear communication across all departments.Collaborate with marketing and sales teams to create effective product positioning, messaging, and customer outreach strategies.Work closely with risk, compliance, and legal teams to ensure that AI products meet regulatory requirements in areas such as data security, fairness, and transparency.Drive adoption and usage of AI products, ensuring they deliver measurable value to the bank and its customers.

Position Summary: The AI Governance & Compliance Specialist is responsible for establishing and maintaining AI policies, ensuring ethical AI use, regulatory compliance, and risk management. This role requires a strong understanding of AI ethics, data privacy, and regulatory frameworks. The AI Governance & Compliance Specialist will collaborate with legal, compliance, and risk management teams to ensure responsible AI development and deployment.Key Responsibilities:· Develop and implement AI policies and guidelines.· Ensure compliance with relevant regulations and standards related to AI.· Conduct risk assessments and develop mitigation strategies for AI applications.· Promote ethical AI practices within the organization.· Develop and deliver training programs on AI ethics and compliance.· Monitor and audit AI systems to ensure compliance with policies and regulations.· Collaborate with legal and compliance teams to address AI-related legal and regulatory issues.· Document and maintain records of AI governance and compliance activities.

We are looking for an experienced AI Engineer with a strong background in the banking domain to join our team. This role will focus on the development, deployment, and maintenance of AI-driven solutions that address the specific challenges within the banking industry. The ideal candidate will have expertise in AI and machine learning algorithms, data processing, and a deep understanding of banking systems and operations.Key Responsibilities:Design, develop, and deploy AI models and machine learning algorithms tailored to the banking domain, including applications for fraud detection, credit scoring, risk management, and customer personalization.Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to build scalable and efficient AI solutions.Develop and optimize data pipelines to process large volumes of structured and unstructured data, ensuring smooth model training and deployment.Implement and integrate AI solutions with existing banking infrastructure and systems to enhance operational efficiency and improve customer experiences.Ensure AI models meet regulatory requirements, including data privacy and security standards, particularly in the financial sector.Continuously monitor the performance of deployed AI models, identifying areas for optimization and ensuring models are aligned with business goals.Stay up to date with the latest advancements in AI, machine learning, and banking technologies, and identify opportunities to apply new techniques to improve banking products and services.Work closely with stakeholders to understand business requirements and translate them into technical solutions using AI.Troubleshoot and resolve issues related to AI systems, including model accuracy, scalability, and performance.Document AI systems, models, and processes to ensure knowledge transfer and compliance with internal standards.

Should have hands on experience in Microsoft Office 365 product installations and implementation of security policies for Organization assetsConfiguration experience of Microsoft Intune and Entra IDShould have hands on experience in Network configurations to connect computers with switches/routers/hub.Biometric and CCTV configuration experience.Should have experience in installation of Windows Operating system, software installationsShould have knowledge on Firewall configurationsShould be able to proactively identify security threats and take action to prevent any vulnerabilitiesShould have experience on user profile creationShould be self-driven and Go getter to own the tasks and complete ASAP within timelinesGood communication skills. Able to prioritize activities and capable of Multi-taskingClear to understand the Network architectureGood at atleast one Database to run basic scripts, queries and stored proceduresQuick learner to grasp about new products and implement to optimise operationsManage inventory of software and hardware resources like computers, cloud networks and track upto date.Proactively come up with process / system improvement to improve operation efficiencyMS Azure, VM Ware Cloud configuration with back-up and restore/recovery experienceCI/CD Pipeline automation - implementation knowledge will be added advantageKnowledge of any programming language like Python/Java will be added advantage