JOB DESCRIPTION Verdantis project implementation and delivery team is responsible for end to end life cycle of complex equipment master data management projects. Our diversely experienced team of engineers is backed by our industry leading data management applications. We deliver to our client the best of automated data processing combined with machine learning added by our data analysts. We are looking for candidates who are passionate about technical know-how from the world of engineering combined with mindset of a data analyst. JOB SPECIFICATION Processing and analyzing equipment master data as per project parameters such as timelines and quality assurance Identification of product/equipment from textual descriptions for categorization Identification of technical specifications for equipment e.g.Motors, Pumps, Vibrators etc. Analyze and understand key parameters such as Functional Location, Equipment TAG, drawings etc. Prepare/update equipment BoM based on drawings/user manuals etc. Devise steps to automate the above processes Data modelling of Verdantis data management applications as per clients masterdata Quality check automated results and make corrections to meet overall quality assurance Tracking project progress with various project management methods such as Daily Status Meetings, 1-1 meetings with managers, Daily/Weekly/Monthly Targets, Problem Solving/Brainstorming Sessions, etc. Documentation of key decisions and communications with meeting minutes and status reports Perform in collaborative organizational structure ensuring right authority is updated with accurate status on timely manner Identify opportunities to enhance process efficiency and automation Evaluate/recommend emerging technologies that may contribute to our analytical platform Understand and resolve client issues on material data, structure or processes EXPERIENCE & REQUIREMENTS 2 -7 years of industry experience BE: Mechanical /Production /Electrical/ Electronics & Telecommunication years of industry experience COMPETENCIES Good communication skills - written and spoken Well versed in his/her area of interest Strong collaborative mindset Good presentation skills Flexible to perform under dynamic project requirements Problem solving and analytical skills Well versed with common computer programs such as Word, Excel,Power Point, etc. Taking initiatives and ownership Show more Show less

We are seeking an exceptionally skilled Technical Lead who possess deep expertise in modern front-end technologies, and a passion for exploring and implementing AI-driven features that elevate our products and user experiences. Key Responsibilities: Technical Leadership & Architecture Define and drive the technical vision, strategy, and roadmap for our front-end architecture, ensuring scalability, performance, maintainability, and security. Lead the design and implementation of complex, highly interactive, and responsive user interfaces using cutting-edge front-end frameworks (e.g., React, Angular, Vue.js) and associated technologies. Establish and enforce best practices for front-end development, including code quality, testing, accessibility, and performance optimization. Conduct in-depth code reviews, provide constructive feedback, and mentor team members to foster technical excellence and growth. Collaborate closely with product managers, UX/UI designers, back-end engineers, and AI/ML engineers to translate product requirements into robust technical solutions. Evaluate and recommend new front-end technologies, tools, and libraries to continuously improve our development stack. AI Integration & Innovation Pioneer AI-driven Front-End Experiences: Proactively identify and explore opportunities to embed AI/ML capabilities directly into the front-end to enhance user engagement, personalization, predictive interactions, intelligent search, content recommendation, and dynamic UI generation. Orchestrate AI Model Consumption: Design and implement efficient and performant ways for front-end applications to consume and interact with AI/ML models (e.g., via APIs, WebSockets, client-side inference where applicable). Data-Driven UI/UX: Leverage AI for A/B testing, user behavior analysis, and predictive analytics to inform UI/UX design decisions and drive continuous improvement. Ethical AI Implementation: Ensure responsible and ethical implementation of AI features, considering data privacy, fairness, and transparency in user-facing applications. Stay abreast of the latest advancements in AI, particularly as they apply to front-end development (e.g., Generative AI for UI, AI-powered design tools, client-side ML frameworks). Team Leadership & Mentorship Lead, inspire, and empower a team of front-end engineers, fostering a culture of collaboration, innovation, and continuous learning. Provide technical guidance, coaching, and mentorship to team members, helping them develop their skills and careers.