Location: India Position Overview Based in Bangalore, India this Technical Analyst role will be working in partnership with Global IT teams leveraging strong technology & analytical skills to enable the eco-system such that we can deliver relevant cross-domain technology stabilizations, performance & modernization across the enterprise application portfolio. Also as the Core SAP Technology Basis Analyst - This individual should understand architecture, design, build, test, deploy, maintain & operate the Global SAP ERP technology application portfolio, working with partners such as SAP, IBM, Cloud & System-Integrators (SI's) and will be involved in a range of global technology projects, deployments/rollouts & day-to-day operational improvements (Sev-1 and Sev-2) to continuously improve the system performance. Successful candidates will also be able to follow a disciplined approach (Agile & DevOps) in managing work & communicating effectively and following established IT guidelines (security, project processes, etc.). Essential Duties & Responsibilities Partnerships: -Build and foster relationships with key internal IT-Stakeholders across Applications, Infrastructure, Security & Partners and become a trusted resource & provider of Technology & system services. -Proactively build relationships by being solution oriented and focused on commitments. -Prepare relevant Technology insights and documents to assist in presenting finding to all levels of IT-management. SAP Technology Architecture: -Research and analyze technology trends & platforms to identify opportunities & propose solutions focused on application improvements. -Apply knowledge of technologies, applications, methodologies, processes and tools to support a project or domain, primarily for SAP ERP. Application Maintenance & Platforms: -Backup & DR: Enterprise level backup and restore strategy and a coordinate Disaster Recovery (DR) plan & executions -Data Archiving: Drive enterprise data retention and data archive strategy with corporate content management solution -Performance: Partner with Infrastructure and security for end to end maintenance and trending of all corporate applications, systems and integrations with security considerations and pro-active scanning -Capacity Mgmt.: Drive CMDB and capacity planning across applications and corporate systems -Modernizations: Research and evaluate new technologies and IT tools to improve the technology platforms with focus on real value and ROI for the company. -System landscape architecture design, SAP application installation and upgradation. Production Operations: -Technology Operations: Co-lead SAP-Basis Operations Management and improve overall user experience. -DevOps: Leverage leading design & operational practices to solve critical problems., identify opportunities to develop and maintain core ERP applications - primarily focused on SAP. -Processes: Identifying operational process improvement opportunities to enable Application administration and maintenance operational maturity and highly focused on enabling automations. -High availability: Identifying day-to-day critical application/systems issues leveraging problem management techniques due to gaps in our application & systems landscape and working to resolve these with various IT & business partners. -Adoption: Support moving away from legacy challenges to foster improved usage/adoption of enterprise solutions. -Release management: Manage outages efficiently and create opportunities to provide alternate work arounds. -Operational Metrics: Establish Technology level SLAs, OLAs, milestones and check points to track and improve performance of systems and/or applications leveraging strategic partners & internal teams. Experience, Skills & Knowledge -At least 4+ years of experience in a SAP Basis role. -Experience in SAP systems (ECC, BW, Fiori, PI/PO) with HA (High-Availability) environments, including different Database and Operating system combination. -Hands-on skills in SAP Basis and administration and maintenance to Proactively improve related causes. -Experience with SAP implementations working in full lifecycle projects environments. -Demonstrated ability to manage multiple tasks and projects, to prioritize, and adapt to a changing technology environment. -Knowledge on the Advanced technology design & systems knowledge of various information systems environments. -Cloud deployments experience for SAP ECC (preferred).
Location: India Position Overview Ralph Lauren is looking for an experienced, self-directed, and highly motivated Technology Manager to lead and deliver enterprise-grade, Mobile APP Development process across our frontend and backend stack-spanning React Native, AWS, GraphQL and well versed with developing Mobile commerce specific applications and design patterns like Singleton, adaptor, factory patterns-while orchestrating the delivery work with external SI partners. He/She would need to act as an anchor between technical execution and business outcomes, ensuring delivery quality, scalability, and partner alignments. In addition to this, having exposure to SFCC SCAPI commerce platform can be considered as an added advantage. Essential Duties & Responsibilities .End-to-End Delivery Management Plan, manage, and deliver medium to large-scale composable projects. Define delivery milestones, resource allocation, dependencies, and risk mitigation strategies. .Mobile App Development and Architecture Leadership Interpret and apply composable principles-modularity, autonomy, API-first design, reusability, Scalability .Technology Oversight Guide development teams using React Native, SFCC SCAPI , GraphQL, and relevant front-end and Microservices frameworks. Ensure best practices in micro-frontends, API layer, CI/CD, observability, and cloud architecture .Partner & Stakeholder Coordination Serve as the primary liaison with external SI partners. Manage delivery scope, SLAs, integration boundaries, and co-ordinate plan-of-record adjustments. .Technical & Architectural Mentorship Mentor internal and partner engineers on architectural standards, code quality, reusable modules, component libraries, and test frameworks. .Agile Team Leadership Oversee Agile delivery processes-sprints, PI planning, backlog grooming, reviews. Drive continuous improvement across CI/CD, testing, monitoring, and retrospectives. .Client & Vendor Management Lead delivery reviews, interfacing with vendor leadership and internal stakeholders. Address escalations and risk collaboratively. .Governance & Documentation Produce architecture decision records, API contracts, component documentation, onboarding guides, and API gateway policies (Apigee). .Tools & Ecosystem Building Curate internal repositories of reusable APIs, UI components, templates, patterns, and documentation. Experience, Skills & Knowledge Technical & Architectural Skills : .12+ years in software development or delivery, including 5+ years delivering Customer-Facing Mobile Commerce applications. .Any experience in SFCC Commerce Cloud and integration with OCAPI/SCAPI will be added to the advantage .Deep hands-on experience in architecting and developing React Native .Proficiency with SFCC SCAPI API management platforms. .Familiarity with micro-frontends, containerization, CI/CD, and cloud deployment patterns. Delivery & Leadership : .Track record as Lead/Manager/Scrum Master in delivery roles overseeing internal teams and third-party SI partners. .Excellent stakeholder management-coordinating across technical, non-technical, and vendor teams. Soft Skills : .Proven communicator with strong presentation and persuasion skills. .Process improvement mindset-enthusiastic about driving efficiency, quality, and reusability. Education : .Bachelor's or Master's in Engineering, Computer Science, or equivalent.
Location: India Position Overview The Network Engineer, reports to the Manager, and will be responsible to come up with innovative solutions to various networking problems and ensures that requirements are properly defined and satisfactorily met. Implements and evaluates the working of networking systems and stays abreast of new technologies emerging in the industry. Relies on extensive IT experience and sound judgment to plan and accomplish goals. Essential Duties & Responsibilities Provides Tier 3 engineering support during critical operational incidents as necessary. Supports the architecture team during the transition into production. Maintains current network infrastructure and leverages the manufacturer for advanced support. Maintains high network availability for redundancy and resilience. Understands and accounts for peak load manages peak load events. Follows Standard Operating Procedures (SOPs) for operational efficiency. Optimizes, implements and monitors network performance. Maintains and reacts to Enterprise-grade network monitoring system. Assists in the deployment of network equipment for new office build outs, domestically and internationally. Assists in the deployment of WAN circuits, including MPLS VPN's and P2P/IPsec circuits. Supports the LAN and WLAN infrastructure for campus and remote office locations. Expertise with SDWAN Reviews and audits router ACLs for user access. Helps with security audits of the network system and improves the security posture. Manages the wireless infrastructure, from implementation and optimization to daily operational support. Tests disaster recovery setups, both on a global and site-by-site basis. Supports and resolves PCI and SOX compliance regulations Experience, Skills & Knowledge Experience working in data centers / ISP with an emphasis on Network and Systems Operations Center (NOC) Must be self-motivated with strong interpersonal, communication, presentation, and organizational skills. Experience working in previous network operations and implementation role desired. Ability to translate technical recommendations into a visual format for presentation to non-technical stakeholders. Knowledge of CloudGenix Fluency with Cisco wireless, network switches understanding of Riverbed and F5 products. Knowledge of IP fundamentals and IPv6. Knowledge and expertise in Wireless LAN and Wireless WAN technologies, as well as with a variety of routers and switches. Must demonstrate in-depth understanding of the OSI model. Demonstrable knowledge in the design, implementation, troubleshooting and operations of data center technologies. Firm understanding of operating systems, virtualization, network services for cloud enablement, and security. Consistently able to solve connectivity problems to increase bandwidth, improve response times, maximize performance, and support global operations. Expertise in Cisco/Meraki Extensive skills in WAN related architectures and technologies important to enterprises, such as MPLS, IPsec and emerging technologies. Thorough knowledge of VoIP related standards and principles required, with proven troubleshooting experience. Capable of supporting and troubleshooting WLAN networks for guest, untrusted and private connections 6+ years of experience within IT Infrastructure operations 3+ years of experience Network Administration
Location: India Position Overview The Ralph Lauren Corporation, a global leader in luxury fashion and design. Our Technology team is focused on building high-quality technology solutions to enhance the business & customer experience across channels and geographies. Ralph Lauren is embarking on a multi-year transformational journey Cross-Stitch to ignite the magic. We intend to drive growth, increase profitability and streamline product delivery, using innovative technology and data-driven integration. By thinking differently, we will elevate the Ralph Lauren experience and win the market. As part of Project Cross-Stitch, we are replacing our core supply chain solution (SAP, Island Pacific, and Microsoft D365) with a unified SAP S/4 HANA for Fashion ERP solution. This transformation will standardize business operations across Planning, Sourcing and Buying, Retail and Wholesale, Logistics Distribution, and Finance. As a Senior Analyst SAP Procure to Pay (PTP), this position would be responsible for the solution design, build/configuration, testing, deployment, support, integrity and ongoing management of PTP processes through continuous business support of the solution in Production. Serve as the SAP functional senior analyst in PTP by providing experience and deep understanding of procurement business processes and exception scenarios and a comprehensive knowledge of PTP related tools/systems. This role will be responsible for configuring the PTP solution in SAP S4 Fashion to enable the desired business processes functionality. This position will also be responsible to complete detailed functional specifications and quality testing for SAP development objects, to deliver the approved end-to-end PTP solution within Ralph Lauren's application environment. As a Senior Analyst at Ralph Lauren, you will be a part of a growing Enterprise Applications community that is Global in scope and operates across all of Ralph Lauren's regions & application disciplines. Essential Duties & Responsibilities .Lead or actively participate in all phases of the SAP S/4HANA implementation lifecycle for the procure to pay solution area, including global design, detailed design and build (including configuration and application development objects), security design testing, data migration, go-live, and post-go-live support. .Translate the business requirements into effective SAP PTP solutions, leveraging standard S/4HANA functionalities and industry best practices .Capture & document business processes, functional & data requirements and be able to communicate with technical resources .Develop comprehensive functional specifications for RICEFW (Reports, Interfaces, Conversions, Enhancements, Forms, Workflows) objects and work closely with technical teams (ABAP, Fiori, Integration specialists) to ensure successful development and delivery .Conduct thorough unit testing, integration testing, and support user acceptance testing (UAT) to validate configured solutions and ensure they meet business requirements .Participate in data migration activities, including data cleansing, mapping, and loading for project-related master and transactional data .Provide training and support to end-users, ensuring a smooth transition and adoption of the new system. .Collaborate with cross-functional teams (Finance, Procurement, Sales, Production, etc.) to ensure seamless integration points and end-to-end process efficiency .Configure and customize SAP PTP modules and integrate with other SAP modules (OTC, RTR, Retail, and Logistics) .Stay updated with the latest SAP S/4HANA innovations, specifically in the Procure to Pay area, and provide recommendations for continuous improvement. .Troubleshoot and resolve complex SAP product related issues, providing expert guidance and solutions Experience, Skills & Knowledge .Bachelor's degree in supply chain, Computer Science, Mathematics, Engineering, or related field. .Minimum 6+ years of SAP PTP / MM work experience, with 2+ experience in SAP S4 solution (Fashion solution preferred) .At least two full project lifecycle experience, preferably on SAP S4. .SAP certified Associates would be preferred. .Extensive experience in SAP PTP processes and SAP S/4 HANA Fashion Solution. .Sound knowledge of Purchase Requisitions, Purchase Orders, Goods receipts, Invoice receipt, MRP and Inventory management, Third Party / Drop shipment, Purchase pricing and inbound tax configurations, familiarity with EDI Order processing, ASN, Billing and Material Ledger processes. .Work experience in special procurement such as consignments, contracts, subcontracting, and scheduling agreements .Exposure to output configurations, the Adobe and BRF+ setup in S4 Hana .Work experience with 3PL systems & integration with WMS warehouse management systems. .Strong experience supporting and working with cross-functional teams in a dynamic business environment. .Is a confident, energetic self-starter, with strong people skills. .Ability to work independently, with limited direction, to achieve expected results .Has good judgment, a sense of urgency and has demonstrated a commitment to high standards of ethics, quality, regulatory compliance, customer service, and business integrity. .Must have the ability to work in a global delivery model.
Location: India Position Overview Purpose & Scope: We are looking for a Data Engineer to join our Retail Analytics & Engineering team, focused on modernizing our data ecosystem by migrating legacy pipelines to Databricks and Prophecy, and driving business outcomes in planning, merchandising, and supply chain. In this role, you will work closely with Retail business users and Cloud Engineering teams to re-engineer legacy data workflows, build scalable pipelines, and deliver high-performance data products supporting retail operations. You will be responsible for both business-driven retail analytics use cases and technical platform migration and optimization, enabling our transition to a modern, cloud-native data architecture. Essential Duties & Responsibilities Retail Data Engineering: .Build scalable pipelines supporting key retail analytics use cases such as sales forecasting, demand planning, inventory optimization, and logistics tracking. .Integrate data from retail POS systems, eCommerce platforms, warehouse management systems, and 3PL providers. .Develop retail data models for product hierarchies, planning attributes, and merchandising KPIs. .Collaborate with Planning, Merchandising, and Supply Chain teams to translate business needs into data solutions. .Enable real-time and batch data flows to drive operational dashboards and planning cycles. Cloud Migration & Platform Modernization: .Lead the migration of existing on-premise or legacy ETL pipelines to Databricks and Prophecy. .Re-architect pipelines for Spark-based execution, leveraging Databricks-native orchestration and Prophecy low-code development. .Optimize Databricks Spark jobs for performance, cost, and scalability across retail datasets. .Collaborate with platform teams to implement Unity Catalog, cluster policies, and CI/CD pipelines. .Build monitoring, validation, and data quality frameworks for production-ready pipelines. General Engineering: .Conduct performance tuning, troubleshooting, and root cause analysis of production data pipelines. .Document migration patterns, retail data flows, and technical designs. .Stay current with industry best practices in data engineering, retail analytics, and cloud data platforms. Experience, Skills & Knowledge Education & Experience: .Proven experience in data engineering roles within a Retail, eCommerce, or Supply Chain domain. .Hands-on experience with Databricks, Spark, and Prophecy.io or similar data orchestration tools. .Experience migrating ETL pipelines from legacy platforms (Informatica, SSIS, Talend, Glue) to modern cloud environments. .Strong proficiency in Python, PySpark, and SQL. .Experience working with Retail ERP systems (SAP, D365, JDA) and logistics data feeds. .Familiarity with data modeling for retail hierarchies and planning processes. .Exposure to cloud platforms (AWS or Azure preferred) and cloud-native data services. .Experience with CI/CD for data pipelines and environment automation. .Strong analytical skills and ability to troubleshoot complex data issues. .Excellent communication and collaboration skills.
Location: India Position Overview Purpose & Scope: The Senior Data Scientist role is a hands-on technical IC (Individual Contributor) role within the Data Science & AI team, driving the design, development, and deployment of scalable machine learning and AI solutions for complex business challenges. This role will require execution of E2E data science & AI initiatives, owning the delivery roadmap and collaboration with cross-functional stakeholders to drive data-driven transformation across Ralph Lauren. Essential Duties & Responsibilities What you will be doing (responsibilities): . Own E2E Data Science/AI solutions including building out timelines/key milestones, prioritization, providing regular updates to product managers, analytics management and delivery against agreed timelines. . Lead the identification of machine learning opportunities and design end-to-end solutions. . Develop sophisticated machine learning models, including deep learning, recommendation systems, and natural language processing. . Guide the deployment and monitoring of models in production environments, ensuring robustness, scalability, and performance. . Design experiments, perform hypothesis testing, and evaluate model impact on business KPIs. . Collaborate with business, engineering, and product teams to integrate AI/ML solutions into business workflows. . Contribute to the data science & AI roadmap, advocating for AI/ML best practices and data-driven culture. Experience, Skills & Knowledge What you bring (Qualifications): Education & Experience: . Master's degree in data science, computer science, applied mathematics, statistics, or a related quantitative field. . 6-9 years of professional experience in advanced analytics and machine learning roles. . Experience in analyzing complex and ambiguous business problems and translating them into data science/AI solutions. . Strong expertise in Python, SQL, and experience with big data processing tools (Spark, Hadoop). Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras). . Experience in machine learning, supervised and unsupervised learning: Natural Language Processing (NLP), classification algorithms, advanced data/text mining techniques, multi-modal model development, and deep neural network architecture. . Experience in statistical learning methodologies including but not limited to Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series Forecasting, Market Basket Analysis, Dynamic/Causal Inference Modeling, Statistical Learning, Guided Decisions, Topic Modeling . Familiarity with Autonomous AI systems design, implementation of human-in-the-loop frameworks, and expertise in AI system monitoring, observability and governance practices. . Experience in end-to-end LLM implementation including custom embedding generation, vector database management, LLM gateway configuration, RAG-based agent development, strategic model selection, iterative prompt refinement, model fine-tuning for accuracy optimization, and implementation of robust monitoring and governance frameworks. Proficiency in modern orchestration frameworks such as LangChain or DSPy. . Experience in MLOps best practices, including production-grade model deployment at scale, and designing/implementing enterprise-level AI/ML governance structures. . Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross cultural and cross-functional environment. Ability to communicate conclusions to both tech and non-tech audiences Desired Skills: . Retail industry experience and an understanding of retail/ecommerce data landscapes are strong pluses. . Expertise in model interpretability techniques and ethical/responsible AI considerations. . Familiarity with DevOps/DataOps practices for CI/CD of machine learning pipelines. . Familiarity with Graph DB architecture. . Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Location: India Position Overview This role will have responsibility for developing and delivering Employee Learning Experiences locally to India and Bangladesh employees. They will act as an internal learning consultant and collaborate closely with the Global Employee Learning Experience team, People team, and leadership stakeholders for India and Bangladesh client groups to deliver impactful, engaging, and results-driven learning experiences. This role's primary mission will be to partner with Finance, IT and Sourcing Leadership to deliver the Learning Experience strategy, enabling the growth of our talent. You will manage learning deployment and facilitation to best contribute to talent development, business growth, and a respectful and inclusive employee experience.This role will be an Individual contributor role. Essential Duties & Responsibilities . Set clear objectives and outcomes for learning programming to demonstrate the quality of the learning, business impact, and learner feedback . Build and manage successful relationships between your stakeholders: Regional leadership-India & Bangladesh, People and the ELX teams . Work with stakeholders to assess learning needs and to define training priorities . Enable business success by unleashing individual potential, inspiring growth, and building diverse teams through strategic learning experiences, agile ways of working and authentic employee experiences . Deliver and facilitate RL Learning Academy programs including subject areas such as Professional Development, , Leadership & Functional Job skills to meet individual and organizational needs as identified and agreed with Business Partners . Plan and project manage the delivery of onboarding programs for new employees to create effective and engaging onboarding experiences . Collaborate with stakeholders to support implementation and adoption of global Learning Experiences tools and initiatives . Partner with Global Learning Experience Insights & Creation functions to create and refine new learning solutions for India and Bangladesh employees. . Review training materials and tailor the content of training materials to suit India and Bangladesh specifications, while remaining consistent with methodology and learning outcomes . Communicate effectively with the Global Learning Experience team and other business units to support and enable efficient coordination of learning events . Support administrative tasks in our LMS, ensuring all training is deployed, recorded, and reported on appropriately . Assist with communicating and championing India and Bangladesh Talent Development initiatives with client groups. . Adhere to the Learning Experience Guiding principles . Management of learning metrics, evaluation and sustainability for Learning Experiences and manage the local budget . Partners with Global Learning Experience Team, People team and stakeholders to establish the most appropriate vehicle of delivery on a case by case basis e.g. super user, e-learning, face-to-face, virtual classrooms, outsourcing, etc . Organizes the delivery of Learning Experience programs, online, venues, logistics, as required to achieve efficient training attendance and delivery Experience, Skills & Knowledge At least 12-14 years of experience of working in MNCs or matrixed organizations in learning teams . Master's degree (or equivalent), or Learning/Talent Development certification Experience in leading Talent or Learning Development for business areas including needs analysis, design, delivering and evaluation of development interventions Proven ability to manage multiple talent development interventions and strong capability to learn delivery and scaled deployment of new talent development interventions Ability to manage changing priorities, highly effective in dealing with ambiguity Able to balance working independently as well as in a collaborative team environment in a fast-paced energetic culture Strong computer skills: Microsoft 365 (Word, Excel, PowerPoint, Outlook) and familiarity with Learning Management systems.
Location: India Position Overview We are seeking a proactive and analytically driven Sourcing Analyst - IT to join our Global Procurement team, supporting the North America region from our Bangalore office. This role is ideal for candidates with 2-5 years of experience in sourcing, procurement, or financial analysis, particularly within IT categories. The Analyst will be responsible for executing strategic sourcing activities, supporting category management, and driving value creation across IT spend areas such as software, hardware, telecom, and IT services. The role includes spend analysis, RFx development, supplier negotiations, contract management, and stakeholder engagement. The Analyst will collaborate closely with North America stakeholders and global procurement colleagues to ensure alignment with business goals and procurement strategies. This position offers a unique opportunity to contribute to high-impact initiatives while developing expertise in IT sourcing within a global organization. Essential Duties & Responsibilities Key Responsibilities Develop category strategy and approach in accordance with overall strategy of Global Procurement including: Development of Category-Specific Strategies Development of Key Stakeholder Relationships Aligning category strategy to stakeholder prioritization and developing category road map Prioritization and Planning of Strategic Sourcing Initiatives Identification of Global vs Region-Specific Opportunities Management of Project Timelines Lead execution of Strategic Sourcing events in accordance with Ralph Lauren sourcing methodology including: Development of Project Baselines and Spend Profiles Development of Industry & Vendor Profiles Development of RF(x) Documents Prepare and Lead Vendor Negotiations Development and Implementation of Supply Agreements Provide support for Global Procurement initiatives as required: Spend Analytics and Assessment Procurement Performance Reporting and Savings Procurement Policy and Process Compliance Coordination of Financial Capture of Sourcing Outcomes Supplier Relationship Management. Provide Ad Hoc support across Global Procurement digital systems including: Review and approve Ariba Purchase Requisitions Review and approve Aravo New Vendor Requests, support Stakeholders as needed Update, maintain and follow up against critical path data sources (e.g. Scout, EMEA Saving Opportunities tracker, Marketing Projects tracker, preferred supplier list etc) Experience, Skills & Knowledge Required Skills: .Advanced Microsoft Office Suite- Word, Excel, PowerPoint oExperience in using Excel Pivot tables and Macros .Strong ability to analyze and organize data are essential .Excellent communication skills (capable of communicating with senior stakeholders). Ability to develop and deliver engaging presentations / dynamic reports .Strong analytical, influencing, facilitating, team building, strategic thinking, solution-oriented, process-driven, people management, and time management abilities .Independent achiever & self-starter with commitment to superior quality and accuracy .Ability to execute under time sensitive deadlines and work effectively in a dynamic environment, even when faced with ambiguity Experience/Education: .Understanding of end-to-end procurement process as well as using procurement systems (Ariba, Workday or similar) .Experience working in Retail (ideally in a luxury brand) considered an asset .Bachelor's degree in business, or a related field preferred .Professional certifications are an asset (CIPS etc.) .Category-specific Strategic Sourcing experience considered an asset .Ability to travel domestically / abroad as needed
Location: India Position Overview Purpose & Scope: The Senior Data Scientist role is a hands-on technical IC (Individual Contributor) role within the Data Science & AI team, driving the design, development, and deployment of scalable machine learning and AI solutions for complex business challenges. This role will require execution of E2E data science & AI initiatives, owning the delivery roadmap and collaboration with cross-functional stakeholders to drive data-driven transformation across Ralph Lauren. Essential Duties & Responsibilities What you will be doing (responsibilities): . Own E2E Data Science/AI solutions including building out timelines/key milestones, prioritization, providing regular updates to product managers, analytics management and delivery against agreed timelines. . Lead the identification of machine learning opportunities and design end-to-end solutions. . Develop sophisticated machine learning models, including deep learning, recommendation systems, and natural language processing. . Guide the deployment and monitoring of models in production environments, ensuring robustness, scalability, and performance. . Design experiments, perform hypothesis testing, and evaluate model impact on business KPIs. . Collaborate with business, engineering, and product teams to integrate AI/ML solutions into business workflows. . Contribute to the data science & AI roadmap, advocating for AI/ML best practices and data-driven culture. Experience, Skills & Knowledge What you bring (Qualifications): Education & Experience: . Master's degree in data science, computer science, applied mathematics, statistics, or a related quantitative field. . 6-9 years of professional experience in advanced analytics and machine learning roles. . Experience in analyzing complex and ambiguous business problems and translating them into data science/AI solutions. . Strong expertise in Python, SQL, and experience with big data processing tools (Spark, Hadoop). Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras). . Experience in machine learning, supervised and unsupervised learning: Natural Language Processing (NLP), classification algorithms, advanced data/text mining techniques, multi-modal model development, and deep neural network architecture. . Experience in statistical learning methodologies including but not limited to Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series Forecasting, Market Basket Analysis, Dynamic/Causal Inference Modeling, Statistical Learning, Guided Decisions, Topic Modeling . Familiarity with Autonomous AI systems design, implementation of human-in-the-loop frameworks, and expertise in AI system monitoring, observability and governance practices. . Experience in end-to-end LLM implementation including custom embedding generation, vector database management, LLM gateway configuration, RAG-based agent development, strategic model selection, iterative prompt refinement, model fine-tuning for accuracy optimization, and implementation of robust monitoring and governance frameworks. Proficiency in modern orchestration frameworks such as LangChain or DSPy. . Experience in MLOps best practices, including production-grade model deployment at scale, and designing/implementing enterprise-level AI/ML governance structures. . Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross cultural and cross-functional environment. Ability to communicate conclusions to both tech and non-tech audiences Desired Skills: . Retail industry experience and an understanding of retail/ecommerce data landscapes are strong pluses. . Expertise in model interpretability techniques and ethical/responsible AI considerations. . Familiarity with DevOps/DataOps practices for CI/CD of machine learning pipelines. . Familiarity with Graph DB architecture. . Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).