Magick Woods

Job Title: Customer Support Location: Maraimalai Nagar Key Responsibilities: Serve as the primary point of contact for US-based customers, addressing inquiries and concerns promptly. Process customer orders, track shipments, and provide updates on delivery timelines. Collaborate with production, logistics, and sales teams to ensure customer requirements are met. Handle complaints and escalate complex issues to the appropriate departments for resolution. Maintain accurate records of customer interactions, transactions, and feedback. Assist customers with product specifications, pricing, and availability. Ensure compliance with US customer service standards and manufacturing regulations. Provide technical support related to manufacturing products and processes. Prepare reports on customer interactions, trends, and service improvements. Support business development initiatives by identifying customer needs and opportunities for upselling. Qualifications: Bachelor's degree in Business Administration, Engineering, or a related field (preferred). Minimum of 3-5 years of experience in customer support. Excellent verbal and written communication skills in English. Proficiency in CRM software and customer support tools. Ability to handle high-pressure situations and resolve customer concerns effectively. Knowledge of US business practices and customer service standards. Skills: Customer relationship management Order processing and tracking Problem-solving and conflict resolution CRM and ERP system proficiency Strong organizational and multitasking abilities Time management and attention to detail

Roles and Responsibilities: Business Group: Magick Woods Location: Guindy Job Title: Senior EDI Analyst NOTE: For the first 6 months, the work location is Maraimalai Nagar, Near SRM University. 5-9 years of experience in B2B integration with focus on EDI integration; familiar with standard concepts, practices, and procedures within the field. Design and maintain all EDI maps to ensure compliance to all business requirements and analyze all EDI implementations and recommend improvements to processes and coordinate with trading partners to resolve all issues effectively. Prepare and maintain test data and perform various tests on all EDI maps and prepare all required documents and evaluate reports. Participate in all system tests and analyze all data and processes and recommend improvements to same and manage all communication with individuals and internal and external stakeholders and ensure compliance to all policies and procedures. Evaluate all business processes and monitor transactions to resolve all lost transactions and perform tests on EDI maps. Implement, design and suggest technical solutions to the stakeholders and partners. Must have Experience working with Cleo Integration Platform / IBM B2B Sterling Integrator, Create new or update X12 translation mapping in current legacy systems (server / mainframe). Including, but not limited to: 870, 810, 850/855, 860/865, 856, 832, 820 Mapping in SI and WTX and working experience of XML mapping is added advantage. Experience on Sterling Map Editor and Business Processes with deployment and User Acceptance Test is a must, Must have good oral and written communication skills to effectively interact with integration partners and internal customers. Knowledge about various Data Transformation services like EDI, XML, JSON,FLAT FILE,DATABASE SPREADSHEET Knowledge about various networking protocols such as FTP/SFTP/AS2 ... etc and their usage, Effective coordination with other employees, Expert analytical skills Ability to plan and organize things effectively.

Job Description: The opening is with Magickhome, a venture of Magickgroup. Magickhome Website: https://magickhome.com/india/ Work Location: Chennai Exp: 10-15 Yrs Role and Responsibilities: Use various Sales methods and Techniques to Network and develop a pipeline of potential customer base of Builders/Construction Companies/ Architects primarily in Chennai Market. Establish, build and nurture relationships with Builders/Construction Companies/ Architects Pitch the advantages and Magick Homes products to them. Focus on nurturing and building long term relationship with the community and generate revenue from Builders/Construction Companies/ Architects Work as an Individual contributor and achieve the assigned targets. Preferred Skills: Focused & Result Driven Good Communication skills Good Networking & Influencing skills. Good experience of Chennai Market.

Job Title: Customer Experience Associate Role Summary The Customer Experience Associate is a customer-facing role responsible for delivering high-quality design consultations and final design reviews to North American homeowners and renovation customers. Associates are responsible for listening, guiding, and translating customer needs into thoughtful kitchen and bath design plans ensuring a smooth and satisfying experience. They are also expected to support fellow associates through collaboration and knowledge sharing, maintaining a positive team culture focused on service excellence. Key Responsibilities (KRAs) Deliver Customer Consultations: Conduct virtual consultations to understand project goals, answer questions, and recommend cabinetry solutions. Provide Final Design Reviews: Confirm layout details, product selections, and design readiness with customers. Support Fellow Team Members: Collaborate and share best practices to strengthen team consistency and success. Respond to Customer Feedback: Listen and adapt based on customer needs and input. Contribute to Customer Journey Quality: Follow all process steps to ensure a seamless, brand-aligned experience. Maintain Accurate Documentation: Use internal systems to record interactions, designs, and project statuses. KPIs (Performance Metrics) Consultation-to-purchase conversion rate First contact resolution rate Customer satisfaction score (CSAT) Consultation quality audit score Peer and team collaboration feedback Requirements Excellent spoken and written English Positive, solutions-oriented mindset Strong listening and communication skills 1–3 years of experience in a customer-facing, design, or sales-related role (retail, home improvement, interior design, or similar) Team player with a willingness to learn and grow Digital-first mindset; comfortable using software tools (design training provided) Design or cabinetry experience is an asset but not required — we will train you! Special Opportunity Selected associates will participate in a 4-week in-person training program in Canada to learn our product, systems, and customer experience standards. All travel, accommodation, and training costs are covered.

We are a dynamic and innovative technology company solely focused on Software Product Development, Mobile, SaaS, ecommerce, Enterprise Systems and System Application Development with modern technologies like Augmented Reality, Virtual Reality, AI, Machine Learning and Data Science. Job Location : Guindy, Chennai Position Overview We are seeking an innovative AI Engineer with expertise in AI/ML & Computer Vision to revolutionize automated space planning and design. You will build intelligent systems that automatically generate optimal interior layouts, particularly kitchen designs, by combining computer vision, 3D modelling, spatial reasoning, and rule-based design principles. The ideal candidate will bridge the gap between AI/ML technologies and interior design expertise to create automated design solutions. Key Responsibilities Design Rule Engine Development : Build comprehensive rules engines for interior design constraints (work triangle optimization, ergonomic guidelines, building codes, aesthetic principles) Automated Kitchen Design : Develop systems that analyze room dimensions and automatically place cabinets, appliances, and accessories following design best practices 3D Space Planning : Create algorithms for optimal placement of hobs, sinks, refrigerators, and storage solutions based on kitchen workflow principles Spatial Constraint Solving : Implement complex constraint optimization for furniture placement, clearance requirements, and accessibility standards Computer Vision for Space Analysis : Process room scans, floor plans, and measurements to understand spatial constraints and opportunities 3D Asset Population : Automatically populate 3D spaces with appropriate furniture, fixtures, and appliances from product catalogs Design Validation : Ensure generated designs meet safety codes, ergonomic standards, and functional requirements Machine Learning for Design Preferences : Build models to understand and predict user design preferences and style choices Multi-constraint Optimization : Balancing aesthetics, functionality, cost, and space utilization Real-time 3D Visualization : Interactive systems for design preview and modification Required Technical Skills Computer Vision & 3D Processing OpenCV Open3D Detectron2/SAM/similar technologies Machine Learning & Deep Learning PyTorch Hugging Face Transformers LightGBM/XGBoost MLflow Data Management Required Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field 3+ years of experience in computer vision and machine learning Strong programming skills in Python Experience with constraint programming and optimization problems Proven track record of building rule-based systems for complex decision-making Strong understanding of 3D geometry, spatial relationships, and collision detection Experience with version control (Git) and collaborative development Preferred Qualifications PhD in Computer Vision, Machine Learning, or related field Interior Design Background : Formal training or significant experience in interior design, architecture, or space planning Experience with CAD software (AutoCAD, SketchUp, Revit) or 3D design tools Knowledge of kitchen and furniture industry standards and suppliers Experience with cloud platforms (AWS, GCP, Azure) for ML workloads Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with real-time 3D rendering and visualization Familiarity with furniture/product catalog management systems Experience with generative design algorithms