Solution Automation Jobs

WM Lead

RLE India Private Limited•

Remote

•Full-time

Job Description Job Summary We are seeking a WM Lead to join our team. This is a hybrid role within the Retail industry. Key Responsibilities This role will be responsible for leading warehouse management processes and ensuring efficient operations. Required Skills & Qualifications SAP MM : Demonstrated proficiency in SAP Materials Management , including core functionalities and best practices. SAP EWM : Extensive experience with SAP Extended Warehouse Management , encompassing configuration, implementation, and ongoing support. Business Process : Strong understanding of business processes related to warehousing, logistics, and supply chain management. Merchandise Hierarchy & Article Hierarchy : Ability to manage and maintain the structure of merchandise and articles within the SAP system. Article Master & Article Categories : Expertise in managing article master data and categorizing articles effectively. Site Master : Knowledge of site master data management and its impact on warehouse operations. Assortment & Layout Management : Ability to manage assortment and layout configurations within the warehouse environment. Pricing & Valuation : Understanding of pricing and valuation principles within the context of warehouse operations. SAP WM Functional Configuration : Ability to configure SAP Warehouse Management functionalities to meet specific business requirements. Warehouse Organization Structure : Ability to design and maintain the warehouse organization structure within SAP . Placement Strategies & Picking Strategies : Knowledge of placement and picking strategies to optimize warehouse efficiency. Inventory Counting & Warehouse Processes : Experience with inventory counting procedures and overall warehouse process management. Batch Management & Serial Number Management : Ability to manage batch and serial number data within the warehouse environment. Transportation Route Setup : Ability to configure and manage transportation routes within the SAP system. Reporting & Queries : Ability to generate reports and run queries to analyze warehouse data and identify areas for improvement. Lean Warehouse Management & Full Warehouse Management & Extended Warehouse Management : Knowledge of lean principles and experience with full and extended warehouse management functionalities. 3PL Warehouse Integration : Experience integrating with 3PL (Third-Party Logistics) warehouse providers. Procurement , Internal Procurement : Understanding of procurement processes, including internal procurement. Inventory Management : Strong inventory management skills and experience. Goods Receipt , Issue Handling , Goods Issue , Outbound Process : Proficiency in managing goods receipt, issue handling, goods issue, and outbound processes. Physical Inventory & Cross Docking : Experience with physical inventory counts and cross-docking operations. Handling Unit Management & Merchandise Distribution : Ability to manage handling units and merchandise distribution effectively. Replenishment Planning : Ability to plan and manage replenishment activities. P2P Processes : Understanding of procure-to-pay ( P2P ) processes. RF Barcode Scanner Solution Design : Ability to design RF (Radio Frequency) barcode scanner solutions. RF Scanners & Label Printer : Experience working with RF scanners and label printers. SAP Best Practice : Knowledge of SAP best practices for warehouse management. Fit Gap Analysis : Ability to perform fit-gap analysis to identify discrepancies between SAP functionalities and business requirements. RICEF , User Exit , Interface : Experience with RICEF (Reports, Interfaces, Conversions, Enhancements, and Forms), user exits, and interfaces within SAP . EDI Interfaces & Third Party Systems : Experience integrating with EDI (Electronic Data Interchange) interfaces and third-party systems. Principal , Solution Automation : Ability to automate warehouse management solutions. IDOC Monitoring : Ability to monitor IDOC (Intermediate Document) transactions. Troubleshooting , Debugging Skills : Strong troubleshooting and debugging skills. Consulting Skills : Ability to provide consulting services related to warehouse management. Business Users & Stakeholders : Ability to effectively communicate with business users and stakeholders. Labeling Requirement : Understanding of labeling requirements. Multilanguage Environment : Experience working in a multilingual environment. Customs Process & Taxation : Knowledge of customs processes and taxation regulations. Micro Service & Middleware Integration : Experience with Micro Service architectures and middleware integration. Dell Boom : Familiarity with Dell Boom . Experience Required: 8 - 12 years of relevant experience. This level of experience indicates a senior-level role requiring a proven track record of success in warehouse management and SAP implementation. What We Offer Salary:

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary: