UKG jobs in bangalore inka india

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Requirement Assessment: Conduct workshops with senior members of customer organizations to drive requirement assessments. Solution Design: Architect comprehensive solutions that integrate UKG Pro WFM (Dimensions) with third-party products, ensuring alignment with business goals. Customization and Integration: Design and implement customizations and integrations to meet specific client needs. Documentation: Collect, analyze, validate, and document business requirements, creating detailed technical specifications for the implementation team. Build and Configuration: Oversee the build and configuration of the system, ensuring adherence to the original design and client requirements. Provide expert knowledge and best practices during the Build phase. Testing Support: Provide guidance and support during the testing phase, including functional testing, integration testing, and user acceptance testing (UAT). Best Practices: Advocate for and implement industry best practices in workforce management, process optimization, and system configuration. Process Optimization & Standardisation: Identify process dependencies, eliminate redundancies, and ensure efficient workflow. Establish common definitions, terminology, and naming conventions across projects. Effective Communication: Effectively communicate complex technical concepts to both technical and non-technical stakeholders using use cases, visual diagrams, and process flow charts. Client Management: Foster strong relationships and manage clients up to the CXO level, acting as a trusted advisor and ensuring high levels of client satisfaction. Mentoring: Mentor and provide guidance to team members on advanced modules and solutioning aspects. Travel: Travel up to 25% may be required to meet with clients and support project implementations. Education: Bachelor's degree or equivalent in Computer Sciences or a related field. o 12+ years of experience implementing or supporting enterprise software applications and hardware used in web environments (UKG Pro WFM/Workday/Ceridian/Oracle/PeopleSoft/SAP Human Resources/Payroll/Time and Labor). o 6 to 8 years of experience in Workforce Management is a must. o Relevant experience as a consultant in a similar application environment is desirable. o Extensive experience in implementing solutions for large enterprise customers across multiple locations. o Thorough understanding of business, process, and technology relating to workforce management. o Experience with requirement gathering, solution designing, implementing, and configuring UKG Products. o Extensive experience on UKG Pro WFM (Dimensions) modules like Time Keeping, Accruals, Leave, Advanced Scheduling, Forecasting, Attendance and Activities. o Prior experience in supporting functional testing, integration testing, and UAT. o Demonstrated track record in delivering quality, on-time technology and business solutions to a diverse customer base. o Solid interpersonal skills to interface with co-workers and customers, managing specific tasks to completion with minimal direction. 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Drive best practices in code quality, documentation, and test coverage. GenAI Product Development: Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization. Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance. Technical Leadership: Take ownership of architecture and technical decisions for AI/ML projects. Mentor junior engineers, review code for adherence to best practices, and ensure the team follows a high standard of technical excellence. Project Ownership: Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers. Proactively identify and mitigate risks to ensure successful, on-time project completion. Architectural Design: Contribute to the architectural design and planning of new features, ensuring solutions are scalable, reliable, and maintainable. Engage in technical reviews with peers and stakeholders, promoting a product suite mindset. Code Review & Best Practices: Conduct rigorous code reviews to ensure adherence to industry best practices in coding standards, maintainability, and performance optimization. Provide feedback that supports team growth and technical improvement. Testing & Quality Assurance: Design and implement robust test suites to ensure code quality and system reliability. Advocate for test automation and the use of CI/CD pipelines to streamline testing processes and maintain service health. Service Health & Reliability: Monitor and maintain the health of deployed services, utilizing telemetry and performance indicators to proactively address potential issues. Perform root cause analysis for incidents and drive preventive measures for improved system reliability. DevOps Ownership: Take end-to-end responsibility for features and services, working in a DevOps model to deploy and manage software in production. Ensure efficient incident response and maintain a high level of service availability. Documentation & Knowledge Sharing: Create and maintain thorough documentation for code, processes, and technical decisions. Contribute to knowledge sharing within the team, enabling continuous learning and improvement. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's degree preferred. Experience: 7+ years of professional software development experience, including significant experience with AI/ML or GenAI applications. Demonstrated expertise in building scalable, production-grade software solutions. Technical Expertise: Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks. Deep knowledge of software design patterns, object-oriented programming, and concurrency. 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Cross-Functional Collaboration: Partner with other engineering leaders, data scientists, product managers, and directors to align on strategic goals and deliverables. Collaborate closely with cross-functional teams to break down complex engineering tasks and drive the execution of the AI roadmap. Agile Leadership: Lead your team in an agile environment, participating in sprint planning, daily stand-ups, code reviews, and retrospectives. Help the team manage competing priorities while maintaining focus on delivering high-quality AI solutions. Technical Excellence: Promote best practices in software development, code quality, testing, and deployment. Drive the adoption of modern engineering practices like CI/CD, automated testing, and cloud-based AI/ML solutions to ensure the delivery of secure, scalable AI applications. Innovation: Stay up to date with the latest advancements in Generative AI and machine learning. 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