AI ML Jobs in Mumbai

Job Title: Senior Product Designer Location: Mumbai Employment Type: Full-Time Experience: 3+ Years About Fynd: Fynd is India s largest omnichannel retail platform and a cutting-edge tech company working across AI, ML, big data, image editing, and education. Trusted by over 2,300+ brands, Fynd helps businesses seamlessly manage their online and offline presence from store operations and inventory to customer engagement and beyond. We are transforming the future of retail through technology, and we re looking for passionate individuals to help shape the journey. What You ll Do at Fynd: As a Senior Product Designer, you ll play a key role in crafting intuitive, visually stunning, and impactful product experiences for millions of users. Your work will directly influence how customers interact with our platform across various touchpoints. Ideation & Research Brainstorm innovative solutions to address real user needs. Conduct user studies and product research to identify pain points and opportunities. Analyze data to drive design decisions and iterate continuously. Design & Prototyping Ideate, wireframe, and prototype UI flows for web and mobile interfaces. Create high-fidelity designs and pixel-perfect visuals. Generate compelling content for product communication and interfaces. Testing & Delivery Conduct usability testing and synthesize feedback into actionable insights. Work closely with product managers and engineers to deliver production-ready designs. Ensure a consistent and delightful user experience across all touchpoints. Ownership & Innovation Take end-to-end ownership of design projects from concept to launch. Push the boundaries of design innovation in every sprint. Own products that sell themselves through great design. What We re Looking For: A strong portfolio of design work that showcases user-focused thinking and beautifully crafted UI/UX. Proficiency in tools like Figma, Sketch, Adobe XD, InVision, and Adobe Creative Suite. 3+ years of experience designing for Social, SaaS, Analytics, or E-commerce platforms. Strong communication skills written, verbal, and visual. A natural collaborator who works well under tight deadlines. Curiosity and drive to learn beyond your comfort zone. A proactive, professional mindset always thinking a step ahead. Unmatched Growth Be part of a company growing exponentially in product lines and international markets. We mentor and groom our people into leaders. Get direct ownership of impactful projects. Flex University & Learning Wallet Regular in-house learning sessions across domains. Reimbursements for external courses and certifications. Strong Work Culture Work alongside incredibly talented and passionate teams. Participate in team-building events, community activities, and parties. Collaborate in a vibrant, 5-day in-office setup to drive innovation and synergy. Wellness & Support Comprehensive mediclaim for you, your parents, spouse, and kids. Access to an experienced therapist to support mental health and productivity. Apply Now: If you're a creative thinker, a systems-level designer, and love solving complex problems with simple, elegant solutions we'd love to hear from you. Come design the future of retail tech with us.

Automation Engineer (RPA) Experience: 3+ Years Location: Mumbai Employment: Full-Time About Fynd Fynd is India s leading omnichannel platform and a tech pioneer in retail technology, AI, ML, big data, and image editing. We empower over 2,300 brands by providing a unified platform that seamlessly connects online and offline sales, store operations, inventory management, and customer engagement transforming retail experiences across industries. Role Overview We are looking for a skilled Automation Engineer / Implementation Engineer with strong expertise in RPA (UiPath preferred) to design, develop, and deploy workflow automation solutions. The ideal candidate will also leverage AI/ML to optimize processes, working closely with business and IT teams to identify automation opportunities and deliver innovative, efficient solutions that drive operational excellence. Key Responsibilities Collaborate with stakeholders to analyze and document business processes. Identify automation opportunities and integrate AI/ML enhancements where applicable. Design, develop, and maintain RPA workflows using UiPath and similar platforms. Test, debug, and deploy automation and AI/ML solutions ensuring reliability. Integrate automated workflows with existing systems and analytics tools. Provide ongoing support and improvements based on feedback and performance monitoring. Stay updated on RPA, AI, and ML trends, recommending best practices for continuous improvement. Qualifications & Skills Bachelor s degree in Computer Science, IT, Engineering, or related fields. 3+ years of experience in automation engineering or process automation roles. Proficient with RPA tools such as UiPath, Automation Anywhere, etc. Strong programming skills in VB.NET, C#, Python, or similar languages. Familiarity with AI/ML concepts and experience integrating AI/ML into automation workflows. Excellent analytical, problem-solving, and communication skills. Understanding of software development lifecycle and agile methodologies. Experience in system integration is a plus. Preferred RPA certifications. Experience or certifications in AI/ML projects. Background in implementation or consulting roles handling end-to-end automation projects. Growth: Opportunities to learn, innovate, and lead as we expand into new markets and product lines. Flex University: Access to in-house courses and reimbursement for external upskilling programs. Culture: Regular community and team-building events, plus annual celebrations. Wellness: Comprehensive mediclaim covering family, plus access to mental health support for work-life balance. We work from our Mumbai office 5 days a week to foster collaboration and teamwork. Join us to make a real impact in a dynamic, innovative environment! Qualification : Bachelors degree in Computer Science, IT, Engineering, or related fields

Engineering Manager Experience: 10+ Years Location: Mumbai Type: Full-Time About Fynd Fynd is India s largest omnichannel retail platform and a multi-platform technology company at the forefront of AI, ML, big data, and retail innovation. Serving over 2,300 brands, we offer a unified system that empowers businesses to streamline online and offline sales, manage inventory, enhance store operations, and elevate customer engagement. Role Overview We re looking for a dynamic Engineering Manager who can lead by example writing scalable, performant code while mentoring high-performing teams. Beyond traditional engineering leadership, we value individuals who embrace AI as a development accelerator, using tools like GitHub Copilot, Cursor, and ChatGPT to enhance productivity across coding, testing, and documentation. As an Engineering Manager at Fynd, you ll take ownership of end-to-end architecture, build web applications, and manage teams across backend and frontend technologies. You ll also play a key role in shaping our cloud-native infrastructure on AWS. Key Responsibilities Lead, mentor, and grow a team of backend and frontend engineers, encouraging innovation and ownership. Architect, design, and deliver scalable backend systems using Node.js and Python. Build responsive and secure frontend applications with React.js, ensuring seamless integration with backend services. Leverage AI tools (e.g., GitHub Copilot, GPT-4, Cursor) to accelerate development cycles scaffolding, testing, debugging, and documenting code. Manage cloud infrastructure on AWS including Lambda, EC2, S3, RDS, API Gateway, etc. Design and optimize databases with MongoDB and PostgreSQL, ensuring performance and reliability. Define and implement engineering best practices across CI/CD, code reviews, testing, security, and deployment. Collaborate cross-functionally with product managers, designers, and DevOps to ship impactful features. Proactively monitor system performance, troubleshoot production issues, and ensure high system availability. Stay on top of emerging technologies and trends to drive continuous improvement within the team and the organization. Requirements Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 10+ years of hands-on software development experience, including 3+ years in engineering leadership. Expertise in Node.js, Python, and React.js. Strong experience in MongoDB, PostgreSQL, and scalable data modeling. Proven track record in cloud-native architecture and microservices, with hands-on AWS experience. Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes. Excellent problem-solving skills and ability to make sound technical decisions. Strong communication, mentorship, and team-building skills. Experience in leading engineering teams in high-growth, fast-paced environments. Growth: We re growing fast across products, markets, and technologies. As a part of Fynd, you ll have opportunities to lead new initiatives, expand into leadership roles, and be part of a company that invests in your growth. Flex University & Learning Wallet: Access in-house courses to upskill or pursue external certifications with full reimbursement your learning is our priority. Culture: Team bonding, events, and celebrations are part of our rhythm weekly, quarterly, and annual. Wellness: Comprehensive Mediclaim for you, your spouse, kids, and parents. Access to licensed therapists to support mental health and work-life balance. Work Culture We work from our Mumbai office 5 days a week to foster collaboration and team synergy. If you re excited to build, lead, and innovate at the intersection of tech and AI we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Solution Architect Location: Mumbai Experience: 5+ Years Type: Full-Time About Fynd Fynd is India s largest omnichannel platform and a leading multi-platform tech company at the intersection of retail, AI, ML, big data, and digital infrastructure. Powering over 2,300 brands, we enable seamless integration of online and offline retail, store operations, inventory, and customer engagement transforming business operations and customer experiences across the board. About the Role We are seeking a Solution Architect to lead the design and implementation of scalable, secure, and robust technology solutions that align with business goals. You ll collaborate across engineering, product, DevOps, and business teams translating complex requirements into strategic architectural blueprints and delivering high-impact, performant systems. This role is ideal for someone with strong full-stack expertise, a deep understanding of cloud-native architecture, and a passion for building systems that scale efficiently. Key Responsibilities Solution Design & Architecture Design end-to-end architecture for enterprise and cloud-based applications. Define scalable, secure, and cost-efficient solutions that align with business needs. Choose appropriate tech stacks, frameworks, and tools for performance and maintainability. Technical Leadership & Collaboration Partner with engineering, DevOps, and product teams to ensure successful solution implementation. Provide architectural guidance, code best practices, and mentorship to development teams. Conduct design reviews and ensure adherence to architectural standards and coding guidelines. Cloud & Infrastructure Architect cloud-native solutions on AWS, Azure, or GCP. Define and implement CI/CD pipelines and Infrastructure as Code (IaC). Design systems with high availability, fault tolerance, and disaster recovery in mind. Security & Compliance Implement security best practices across applications, APIs, and infrastructure. Collaborate with InfoSec to ensure compliance with standards like SOC 2, ISO 27001, and GDPR. Stakeholder Management Work closely with business, engineering, and product stakeholders to gather requirements and define technical roadmaps. Communicate complex technical concepts clearly to both technical and non-technical audiences. Present architectural solutions and trade-offs to executives and clients. Technical Skills & Experience Must-Have Skills 5+ years of experience in software architecture and solution design. Deep expertise in cloud platforms (AWS, Azure, or GCP) and microservices architecture. Hands-on experience with: Frontend: JavaScript, React.js, React Native Backend: Node.js, Python Experience with AI/ML frameworks and building data pipelines. Strong knowledge of RESTful APIs, GraphQL, and event-driven systems. Proficiency in databases: SQL, NoSQL, PostgreSQL, MongoDB. DevOps familiarity: Kubernetes, Docker, CI/CD pipelines. Understanding of security protocols and standards: OAuth, JWT, encryption best practices. Nice to Have Experience working in fast-paced product environments or startup ecosystems. Background in performance tuning and system observability. Growth Be part of a rapidly growing company breaking into new products and global markets. Leadership grooming and growth opportunities into senior strategic roles. Flex University: Upskill with internal learning programs. Learning Wallet: Reimbursement for external courses and certifications. Culture Collaborative, people-first culture. Weekly team activities, quarterly offsites, and annual celebrations. Wellness Comprehensive Mediclaim for you, your spouse, kids, and parents. Access to mental health professionals to support your productivity and work-life balance. Work Environment We work from our Mumbai office, 5 days a week, to build together, learn faster, and collaborate more effectively. If you re ready to make an impact and architect the future of retail tech we d love to meet you.

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

Employer Branding & Events Senior Associate Location: Mumbai Experience: 2 4 Years Type: Full-Time About Fynd Fynd is India s largest omnichannel platform and a multi-platform tech company at the cutting edge of retail innovation. We specialize in AI, ML, big data, image editing, and learning technologies enabling over 2,300 brands to manage online/offline sales, inventory, and customer engagement with ease. As a company, we re not just transforming the retail space we re also building a thriving culture that reflects innovation, inclusion, and impact. Role Overview We re looking for a creative and detail-oriented Senior Associate Employer Branding & Events to help bring Fynd s culture to life. This role blends event management, social media storytelling, and vendor operations to shape how people experience and perceive Fynd both inside and out. You ll craft experiences that energize employees, build an authentic online presence, and ensure operational excellence behind every activation. If you love creating engaging moments, managing multiple moving parts, and driving culture through storytelling, we d love to hear from you. Key Responsibilities Event Management & Employee Experience Plan and execute internal events, L&D sessions, workshops, and celebrations. Partner with co-working spaces (e.g., WeWork) for curated monthly activations like flea markets and creative sessions. Handle end-to-end logistics: budgeting, vendor coordination, sourcing, and on-site execution. Gather post-event feedback and amplify moments across internal and external channels. Social Media & Employer Branding Own and execute content strategies for LinkedIn and Instagram (Life at Fynd). Collaborate with designers, freelancers, and team members to create authentic, engaging content. Monitor performance metrics, report monthly insights, and build a vibrant digital employer brand. Actively engage with the online community by responding to comments and DMs. Vendor & Procurement Management Source and manage vendors for merchandise, events, gifting, and activations. Oversee procurement: from POs and quality checks to invoicing and payments. Maintain inventory of company goodies and ensure accurate distribution and stock tracking. Podcast Coordination Fynd Cast Support scheduling, guest coordination, and production logistics for our internal podcast, Behind Closed Doors. Work with editors and freelancers to ensure timely episode rollouts. Track performance analytics and optimize for future content strategies. Internal Communication & Engagement Create new joiner announcements and employee-facing designs using Canva. Plan and support engagement activities to close onboarding cohorts memorably. Assist in the backend coordination of learning and development sessions. Reporting & Presentation Compile event recaps, social media reports, and feedback summaries. Build polished presentation decks to showcase outcomes, insights, and recommendations to leadership. What You ll Need Must-Have Qualifications 2 4 years of hands-on experience in event planning, social media, and vendor management. Bachelor s degree in Marketing, Media & Communication, or related disciplines (preferred). Proficiency in Canva, Google Workspace (Docs, Sheets, Slides), and social scheduling tools like Meta Business Suite or Later. Strong skills in performance analytics and reporting. Excellent communication and stakeholder management abilities. Strong organizational skills, attention to detail, and the ability to juggle multiple priorities. A self-starter mindset with creativity, ownership, and initiative. Nice to Have Experience in podcast production or guest coordination. Exposure to employer branding and employee engagement programs. Familiarity with onboarding or internal communication best practices. Growth We foster a culture of curiosity, creativity, and continuous learning. Flex University: In-house learning opportunities. Learning Wallet: Reimbursement for external courses and certifications. Culture Weekly and quarterly engagement activities. Annual events and celebrations that bring our people together. Wellness Mediclaim coverage for you, your parents, spouse, and kids. Access to licensed therapists to support mental well-being and productivity. Work Culture: We work from our Mumbai office 5 days a week, promoting collaboration, creativity, and a vibrant team environment. If you re ready to shape how people experience work at Fynd this is your stage. Qualification : Bachelors degree in Marketing, Media & Communication, or related disciplines (preferred)

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Position Title: Senior Software Engineer Position Summary: We are seeking a highly skilled Senior Software Engineer with a strong background in Java or the MERN stack (MongoDB, Express.js, React.js, Node.js). The ideal candidate will have 4-6 years of hands-on experience in developing and maintaining applications, and will play a key role in designing, developing, and deploying software applications. The Senior Software Engineer will collaborate with cross-functional teams to create scalable and efficient software solutions. Key Responsibilities: Software Development: Design, develop, and maintain large-scale software applications using Java or the MERN stack. Collaboration: Work closely with cross-functional teams to define, design, and implement new features. Design Ownership: Take ownership of high-level and low-level designs for each software application. Code Reviews: Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices. Performance Optimization: Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentorship: Mentor and guide junior developers, helping them grow their skills and contributing to team knowledge. Stakeholder Collaboration: Work with product managers and other stakeholders to understand requirements and deliver optimal solutions. Continuous Learning: Stay up to date with new technologies and trends, acquiring certifications as needed to meet project demands. AI/ML Exposure: Any exposure or experience with AI, ML, or Data Science will be an additional advantage. Required Skills and Qualifications: Proficiency in Java/MERN Stack: Strong experience in designing, developing, and maintaining software applications using Java, Python, or Node.js. Front-End Development: Expertise in React.js (knowledge of Angular is an added advantage). Database Knowledge: Experience with RDMS (Oracle, SQL Server, Postgres) and NoSQL databases like MongoDB. Web Technologies: Proficiency in HTML, CSS, JavaScript, and front-end frameworks. Open-Source Technologies: Extensive experience working with open-source technologies. DevOps & Cloud Knowledge: Well-versed in DevOps practices, cloud deployment (AWS, Azure), and cloud PaaS. Database Management Tools: Knowledge of database management tools like Liquibase or Hibernate is preferable. Version Control: Familiarity with Git and containerization tools like Docker. Software Development Lifecycle: Strong understanding of software development lifecycle processes and methodologies. Communication Skills: Excellent written and verbal communication skills to collaborate effectively within teams and with stakeholders. Cross-Functional Teamwork: Ability to work effectively in a cross-functional environment. AI/ML Advantage: Exposure to AI/ML frameworks (e.g., Keras, Pytorch, Scikit-learn) is a plus. Statistical & Mathematical Modeling: Knowledge of statistical analysis and mathematical modeling concepts is a plus. Education and Experience: Bachelor s Degree in Computer Science, Information Technology, Electronics, Communication, or related fields. Candidates with a degree in other branches of engineering but with proven skills through past experience/projects are also encouraged to apply. Additional Information: Experience Level: 4-6 years of relevant experience in software development. Certifications: Willingness to acquire certifications in new technologies as required by projects. Qualification : Bachelors Degree in Computer Science, Information Technology, Electronics, Communication, or related fields.

about the role Cloud Engineers with experience in managing, planning, architecting, monitoring, and automating large scale deployments to Public Cloud.you will be part of a team of talented engineers to solve some of the most complex and exciting challenges faced in IT Automation and Hybrid Cloud Deployments. key responsibilities Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies Design, deploy and maintain Cloud infrastructure for Clients Domestic & International Develop tools and automation to make platform operations more efficient, reliable and reproducible Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners Take initiatives to lead, drive and solve during challenging scenarios preferred qualifications 1-3 years experience in Cloud Infrastructure and Operations domains Experience with Linux systems and/OR Windows servers Specialize in one or two cloud deployment platforms: AWS, GCP, Azure Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine) Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net) Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios Logging and Monitoring tools (ELK, Stackdriver, CloudWatch) DevOps Technologies Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos) Deep experience in customer facing roles with a proven track record of effective verbal and written communications Dependable and good team player Desire to learn and work with new technologies Automation in your blood

about the role Data Engineer identifies the business problem and translates these to data services and engineering outcomes. You will deliver data solutions that empower better decision making and flexibility of your solution that scales to respond to broader business questions. key responsibilities As a Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Think big! and drive the strategy for better data quality for the customers Collaborate with many teams - engineering and business, to build better data products preferred qualifications Over 1-2 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Pig, Presto) Data-pipeline & schedular tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Good communication skills Experience in working independently and strong analytical skills Dependable and good team player Desire to learn and work with new technologies Automation in your blood

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Job Title: Customer Success Manager Cybersecurity Location: Mumbai, Maharashtra, India Department: Customer Success | Full-Time About CloudSEK At CloudSEK, we re on a mission to build the world s fastest and most reliable AI-driven cybersecurity technology. Founded in 2015 and headquartered in Singapore, we ve grown rapidly to become one of India s most trusted cybersecurity product companies. Our proprietary AI and ML-powered platform offers real-time detection and resolution of digital threats across various internet sources. CloudSEK s product suite includes: XVigil: Digital Risk Protection Platform BeVigil: Attack Surface Monitoring Tool SVigil: Contextual AI for Supply Chain Risk Monitoring We re proud recipients of multiple accolades, including: NASSCOM-DSCI Security Product Company of the Year NetApp Excellerator s Best Growth Strategy Award $7M Series A funding led by MassMutual Ventures Join us as we redefine digital risk management across the globe. Role Overview: Customer Success Manager Cybersecurity We are looking for a Customer Success Manager (CSM) with a strong background in cybersecurity to manage strategic customer accounts and ensure they realize maximum value from CloudSEK s solutions. You ll be the primary point of contact for clients, combining your relationship management skills with technical cybersecurity expertise to deliver an outstanding customer experience and drive retention, engagement, and growth. Key Responsibilities Account Management Serve as the main liaison for a portfolio of strategic enterprise clients Conduct Quarterly Business Reviews (QBRs) and Annual Business Reviews (ABRs) to align customer goals with product capabilities Visit clients at least twice a year to strengthen relationships and understand evolving cybersecurity needs Cybersecurity Expertise Provide expert insights on threat intelligence, data leak prevention, and digital risk protection Act as a trusted cybersecurity advisor, interpreting threat data generated by CloudSEK s platforms Work closely with client security teams to optimize product usage and threat response Customer Engagement Build strong relationships with key stakeholders including CXOs and CISOs Cultivate customer champions to support advocacy and referrals Deliver customized threat intelligence reports and collect feedback for continuous improvement Revenue Growth and Retention Identify upsell and cross-sell opportunities within assigned accounts Drive on-time subscription renewals and ensure Net Revenue Retention (NRR) and Gross Revenue Retention (GRR) targets are met Support the sales team with referrals and client expansion strategies Product Adoption & Feedback Ensure 100% utilization of subscribed features and solutions Conduct regular configuration and usage reviews Gather client feedback and contribute to product roadmap planning Operational Excellence Maintain accurate account records using CRM tools Share knowledge internally through documentation, training, and internal presentations Ideal Candidate Profile 5+ years of experience in Customer Success, Account Management, or Cybersecurity consulting Strong understanding of cybersecurity principles, digital risk management, and threat intelligence Excellent communication and relationship management skills Proven track record in driving customer satisfaction, retention, and account growth Ability to manage multiple accounts and prioritize tasks effectively Tech-savvy, detail-oriented, and driven by customer outcomes Bonus Points If You Have Experience conducting onsite meetings and business reviews Knowledge of Net Revenue Retention (NRR) and Gross Revenue Retention (GRR) metrics Experience analyzing cyber threats and delivering value-based recommendations Perks & Benefits at CloudSEK Competitive compensation and performance incentives Flexible working hours and a vibrant office culture Free food, unlimited snacks, and beverages Regular team events, music sessions, and creative showcases An opportunity to make a real-world impact in a fast-scaling cybersecurity company Join CloudSEK Empowering the Future of Cybersecurity If you're a customer-focused professional with a passion for cybersecurity and client success, we d love to meet you. At CloudSEK, your work will protect global digital assets while you grow with a world-class team. Apply now and be part of our journey to secure the digital world.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

Position Title: Senior Manager Generative AI & Innovation Lead Location: Mumbai Department: Data Science, AI & Innovation Job Summary We are looking for a forward-thinking and execution-focused Generative AI & Innovation Lead to drive AI-led transformation in the lending industry. In this high-impact role, you will be responsible for identifying, prototyping, and scaling cutting-edge generative AI solutions that enhance efficiency, improve customer experiences, and streamline business processes across the organization. This position is ideal for a passionate innovator who understands the rapidly evolving AI landscape and can bridge the gap between advanced technologies and real-world business needs particularly in financial services. Key Responsibilities Strategic Innovation Leadership Lead AI innovation initiatives by identifying high-impact generative AI use cases across the lending value chain. Develop and own the roadmap for generative AI adoption aligned with key business objectives. Act as a catalyst for organization-wide transformation through AI-powered solutions. Technology & Ecosystem Awareness Stay on top of the latest advancements in LLMs, multimodal AI models, and agentic frameworks. Evaluate enterprise platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, and open-source alternatives. Build internal awareness of emerging technologies and their potential applications. Competitive & Market Intelligence Benchmark AI adoption in financial services and lending industries. Analyze competitor strategies and identify whitespace opportunities and unmet customer needs. Use Case Development & Experimentation Collaborate with business, data science, and tech teams to prioritize and validate high-impact use cases. Rapidly design and develop proof-of-concepts (POCs) with measurable success metrics. Scale validated solutions into production with focus on usability, scalability, and business ROI. Agile & Lean Execution Foster a fail-fast, learn-fast culture with cost-efficient experimentation. Promote lean innovation and lead internal evangelism for AI-driven transformation. Cross-functional Collaboration Partner with engineering, data science, product, compliance, and legal teams for ethical, scalable deployment. Ensure adherence to governance standards, including explainability, fairness, and regulatory compliance. Qualifications & Experience Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus. 2+ years of experience in AI/ML, with at least 1 year hands-on in Generative AI. Proven track record of leading innovation or AI-driven initiatives, preferably in lending or financial services. Deep understanding of the lending lifecycle, including underwriting, collections, risk models, and regulatory frameworks. Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA), embedding models, prompt engineering, and vector databases. Familiarity with cloud platforms (AWS, Azure, GCP) and orchestration tools like LangChain, Haystack. Excellent communication, leadership, and stakeholder management skills. Preferred Skills Experience with synthetic data generation, document AI, conversational AI, or autonomous agents. Understanding of ethical AI, privacy laws, and compliance standards in financial services. Exposure to startups or intrapreneurial roles in launching new AI products or platforms. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus

Job Title: Digital AI Manager Location: Mumbai Function: Supply Chain Procurement About Procurement at Unilever Unilever s Procurement team manages over 30 billion in global spend across 50,000+ suppliers. As part of the Supply Chain, Procurement is essential to delivering sustainably sourced materials and services, driving innovation with our partners, and ensuring our purpose-led brands thrive. Our global procurement organization of 1,400+ professionals supports a wide network, including more than 1.5 million smallholder farmers, impacting over 7 million lives. Guided by our Procurement Lighthouse Strategy, we focus on five pillars: Competitive Buying, Resilience, Partnerships, Sustainability, and Value Chain Excellence all powered by Digital and Technology. About the Strategy & Insights Team Established three years ago, the Procurement Strategy & Insights team serves as the nerve center of Unilever s global procurement function. With a vision of transforming knowledge and data into future-fit strategies, the team enables breakthrough transformation across tools, processes, and business models. The team includes: Strategy Team Drives strategic priorities across Business Groups (BG) and Power of One. Insights Team Leads data-driven programs and cross-functional initiatives. Digital Transformation Team Builds digital capabilities, tools, and data infrastructure. Data & AI Innovation Team Focuses on cutting-edge analytics, AI, and Procurement GPT solutions. Role Overview: Digital AI Manager B&W As Digital AI Manager B&W, you will lead the adoption and integration of digital and AI tools within Unilever Procurement. You will drive the implementation of mature AI/analytics solutions, champion digital adoption within the buyer community, and manage transformation initiatives aligned with our 4D Digital Lighthouse Strategy. You will also act as the Program Manager for the Procurement GPT Hero Use Case, helping scale innovative AI-driven solutions. Key Responsibilities 1. Drive 4D Digital Lighthouse Strategy Data Foundations: Enhance the Procurement Data Lake by integrating internal (Unilever Datalake, BDL) and external data (market intelligence, sustainability, resilience, etc.). Maintain a high-quality, accessible data catalogue. Advanced Analytics: Deliver scalable analytics use cases, build self-service analytics tools, and enable data-driven decision-making across key procurement programs. Tool Integration & Automation: Improve and integrate digital tools into the 7-step strategic sourcing process. Enhance the Buyers Console as the central hub for digital tools and services. Culture & Capability Building: Lead digital adoption programs, deliver training (e.g., DigiCon), and drive capability building across the procurement community. 2. Procurement GPT Program Collaborate closely with the Data & AI Innovation team on advanced AI use cases. Manage the transition of innovations into mainstream adoption and support scaled implementation. Key Stakeholders Procurement Leadership Team (UPLT) Head of Strategy & Insights Global Buyer Community UniOps External technology and AI partners Leadership Competencies Strong stakeholder management across complex, matrixed environments Expertise in change management and adoption strategies Skilled in agile project and program management Passion for digital innovation, transformation, and continuous improvement Required Experience Minimum 5 years experience in Unilever or similar FMCG environment Proven experience in digital transformation, analytics, or change leadership roles Track record of delivering strategic, cross-regional initiatives Ability to work in diverse, cross-functional, and global teams